2013 MFE Candidates


Lidia Brailovskaya holds a master's degree in mathematics with a specialization in statistic and stochastic process from Moscow State University. Prior to joining the MFE program, she worked for KPMG Moscow. Being a part of the risk advisory team, she focused on various projects with major Russian oil and gas companies. Her area of expertise included developing models for commodity, market and credit risks assessment and creating hedging programs. Prior to KPMG she was a deputy head of the Market Risk unit at Unicredit Bank Moscow where her responsibilities included constructing interest rate curves, adopting group-wide VAR model to Russian market, elaborating portfolio fair value hedge accounting policy and creating model for pricing interest rate derivatives. While heading the market risk unit during the economic crisis she proactively identified new risk factors and set up additional limits. Suggested actions enabled the bank to achieve annual budget goals. Prior to this she worked at Egar Technology company where she contributed to the development of a trading and risk management system for the largest Russian bank (Sberbank). There, she was in charge of creating algorithms for counterparty and liquidity risks assessment. Her academic interests include risk management, derivative pricing, dynamic asset allocation and quantitative trading strategies. Upon receiving the MFE degree from UCLA, she aims at holding a quantitative position on the risk management side in a hedge fund, investment company or leading bank. In her spare time she likes art-house cinema, reading, travelling and downhill skiing.


Hanyu (James) Cai received his bachelor's degree and postgraduate diploma in commerce from University of Auckland in 2008. He has cleared all three levels of CFA exam and would be eligible for the CFA charter upon completion of another year of required work experience. Prior to joining the MFE program, he was a business analyst at ANZ bank focusing on retail distribution performance, where he produced various FUM (funds under management), mortgage, sales reporting using Excel, Access and SAS. His other responsibilities also included to possibly optimize existing processes using VBA. Prior to ANZ bank, he worked at Geneva Finance Ltd as a business analyst where he was responsible for providing regular management reporting on lending return and credit risk management using Crystal Report. He also focused on ad hoc requests from the CEO such as regression analysis of lending criteria factors to repayment performance. Prior to Geneva Finance Ltd, James was a client services officer at a private medical insurer called InterGlobal, assisting underwriting medical insurance policies to multinational corporate clients as well as individual expatriates, and supporting UK head office and Southeast Asia regional offices. Upon completion of the UCLA Anderson MFE program, he hopes to apply his analytical and quantitative skills at a hedge fund, an asset management firm, or an investment bank. In his spare time, James likes skiing, diving and socializing.


Xuyi (Emily) Chen received her bachelor's degrees in both finance and financial mathematics from Ohio State University (OSU). During her studies at OSU, she worked within the student investment management team to make successful investment strategies by monitoring the stocks in consumer discretionary sector and analyzed targeted stocks using financial models. During her 5-year online working experience as an assistant manager, she focused on bidding strategy making and managing the investment portfolio of the company. After graduation from OSU, she interned as an analyst assistant at Huazheng Futures. Upon receiving an MFE degree from UCLA, her goal is to work as an analyst in a global investment corporation.


 Houman (Harrison) Dehghan received his bachelor's degree from University of Tehran and master's degree from University of Notre Dame both in Electrical Engineering. During his studies at University of Tehran, he worked as undergraduate student researcher in Wireless Multimedia Communications Lab and Thin Film Research Lab. He developed a new model to estimated power and delay for nano transistors and integrated circuits based on Bayesian Inferences. As a graduate student at University of Notre Dame, his research primarily focused on modeling data-rate rivalry in telecommunications channels with game theoretical models, the results of which could help designing new wireless standard with improved rate allocation. Upon graduation from UCLA, he aims to hold a quantitative position within a global macro strategies group with fixed income and FX focus. In his free time, he likes to play golf, poker, and to swim. 


Ali Efe  received his bachelor's degree in mathematics from Bogazici University, Istanbul, Turkey, and his master's degree in finance from Southern Illinois University. During his master's program and the last year of his undergraduate education, he held TA positions. He also has experience in programming in SAS, C++ and Matlab. He ranked 78th in the Turkish Nationwide Central University Entrance Exam among nearly 1.6 million test-takers and was able to choose freely, any undergraduate departmental studies. During his high school education he joined mathematical olympics and got a wider intellectual and quantitative perspective. He also led the high school mathematics olympics team as team coach. Throughout his education he has learned the importance of motivation as a leading factor to success. Now he is fully committing all of his efforts toward a bright financial engineering career.


Caoqianli (Greg) Gao received his B.S. in computer science & engineering from the University of Electronic Science and Technology of China in 2010, and a master in science from the University of Southern Califonia in 2012. At UESTC, he attended ICM/MCM (The Interdisciplinary/Mathematical Contest in Modeling) twice and won an honorable mention award. During his graduate study at USC, he conducted independent research on time series analysis and machine learning for stock price prediction. He completed an internship program at Hongta Hotland AMC where he helped to program and back-test various quantitative models and trading strategies. He also interned at Guosen Securities where he worked closely with the quantitative trading team to build a statistical arbitrage system. Greg hopes to leverage his analytical and communication skills to trading and asset management. In his spare time he enjoys playing guitar and basketball.

Mahima Garg received her Bachelor of Engineering (Hons.) in Chemical Engineering from Birla Institute of Technology & Science Pilani, a top tier university in India. During her undergraduate studies, she researched on the effectiveness of various microfinance models in improving the financial inclusion of India's population. This spurred her interest in finance which she pursued by taking up courses such as security analysis & portfolio management and with an internship at Iflex Solutions, a financial services firm. Post graduation she worked at Oracle, developing location specific features for the financials module of Oracle ERP suite using C++ and PL/SQL programming. With a strong experience in application development, she joined Citibank as a project manager and successfully delivered technology based projects spanning domains such as asset backed financing, broker financing, risk management and regulatory reporting. Here she implemented key operational improvements that resulted in annual savings of ~1 million dollars. She also managed the Basel II risk calculation engine that aided the calculation of critical risk measures such as VaR and capital adequacy requirements. Her interest in finance combined with her strengths in mathematics and programming motivated her to apply to the MFE program. She has cleared CFA level 1 examination and wishes to pursue the CFA charter. Upon completion of the MFE program at UCLA, Mahima wishes to pursue a career in the areas of quantitative trading, active portfolio management and risk management. In her spare time she enjoys swimming and playing tennis.


Raghavendran Gopalan graduated from the National Institute of Technology Karnataka (NITK), India, with a Bachelor's degree in Electrical and Electronics Engineering. Driven by a passion for mathematics and programming he developed mathematical models for simulating electrical circuits using Matlab and Xilinx programming during his undergraduate studies. He modeled single phase and three phase inverter circuits using Fourier transforms and Matlab's fuzzy logic based algorithm in order to control the speed of an induction motor. He also implemented Phase Locked Loops (PLL), a critical component in power engineering, in an FPGA chip using Xilinx. Developing a virtual trading platform using Java for an inter-college stock trading competition introduced him to the world of finance. Upon graduation he joined Oracle as an applications engineer and worked on their next generation enterprise software solution, Fusion Applications. He helped develop the Incentive Compensation product using Java and PL/SQL extensively. He created a service oriented framework in order to integrate various functions in the ERP portfolio and also developed automation test scripts using Selenium. While at Oracle he continued to pursue his interest in finance by clearing the Level 1 examination in pursuit of the CFA charter. The desire to apply his strong quantitative and programming skills in the field of finance led him to enroll in the MFE program at UCLA. Upon completion of MFE he intends to pursue a career in quantitative trading for an investment bank or an asset management firm. In his spare time, he enjoys reading, playing tennis, table tennis and badminton.

Xianfa (Donald) He received a bachelor of science degree in mathematics and applied mathematics from Sun Yat-Sen University with top honors. While studying toward his undergraduate degree, Donald developed a strong interest in Capital Markets. He gained professional experience during an internship at the Research Department of Citic Securities, the most sizable securities firm in China. After that, he worked as an intern at HSBC, where he actively participated in derivatives products retailing. He then joined the market risk group of Bank of Montreal, the biggest foreign exchange market maker in China, as a quantitative analyst intern. In this role, he programmed VaR model and ran stress test to monitor risk exposures, and automated daily risk reports by developing an application using VBA. By joining the UCLA MFE program, he intends to strengthen his quantitative background and adopt his skills to the area of trading and structuring. In his spare time, he enjoys playing basketball, poker and travelling.

   Xiran Hou received her BA in economics and a second degree in history from Peking University (PKU) in Beijing, China. She holds a level II certification of the Securities Association of China. During her studies at PKU, she worked as an intern in CF Securities where she participated in the IPO of Jilin Yongda Group Co.LTD. Her responsibilities included building models to estimate the company's listing price and writing prospectus. Prior to GF Securities, she worked as an intern at CITIC Bank in the asset management department. She collected market data and used SAS to conduct significance testing on the data. At PKU, she worked on research projects (e.g. the study of market reactions to stock splits and history of usury in China). After graduation, her goal is to work in an investment firm in a quantitative position. Outside the classroom, she likes to read ancient Chinese classics.

Albert Hsu received his Bachelor's degree from National Tsing-Hua University and Master's degree from National Taiwan University (NTU). Additionally, he holds a certificate for completing the quantitative financial analyst program at NTU. During his study at NTU, he worked as a research assistant at Solid-State Laser Crystal and Device Laboratory where he gained exceptional quantitative, analytical, and problem-solving skills. He has proficient experience in programming and has developed a MATLAB based 3D OCT image and large data analysis program using a statistical approach for biophotonics research. During the group projects in his graduate years, he had demonstrated strong and flexible organization, advanced communication, and interpersonal skills. Besides his expertise in engineering, he passed the graduate-level quantitative financial analyst program with outstanding performance. With the rigorous training of the program, he has developed in-depth and all-rounded knowledge in financial markets, derivatives pricing, investment theory, and algorithmic trading. He also completed a project on high frequency trading, where he designed and back-tested an index arbitrage strategy to trade DAX futures and implemented it with real-time data feed. During the MFE, Albert hopes to gain deeper understanding of the various approaches to asset and risk management. Upon graduation from UCLA Anderson MFE, his goal is to hold a quantitative position within a global strategies group mainly focusing on risk analysis and management. Outside the classroom, he is a cooperative, easygoing, and versatile person. His interests include singing, ballroom dancing, and tennis.


Ke Huang received his bachelors in economics and mathematics from Wuhan University in China. He finished all required curriculum in three years and polished the two degree papers in the final year to be the only one in his program who got the Prize of Distinguished Bachelor Papers of Wuhan University for Mathematics and Economics. He also had two papers published: Modeling Asset Returns in Chinese Stock Market with Gauss Mixtures and The Structural Difference of Shanghai Stock Index Before and After 2008:A Copula Based. At Wuhan University, he worked in the Financial Information Laboratory to develop practical hedge fund copula replication method with futures and stocks. His major task was to design the numerical trading algorithm and control possible trading loss. He also participated in pricing exotic options numerically with Monte Carlo simulation. Before joining the MFE program, he had an internship in research of consumer utility and attitude. During his studies in MFE program in UCLA, his goal is to explore more on the quantitative trading algorithm and work in related research fields.


Ranaji Krishna received a Ph.D. degree in Signal Processing from Loughborough University and a Bachelor's degree in Electronic Engineering from Cardiff University, both from the U.K. Prior to joining the MFE program at the UCLA, he worked as a software researcher in the field of high performance computing at Xyratex Ltd. His primary responsibilities were to develop mathematical models and algorithms, based on principles of information theory, for detecting anomalies in high performance computing clusters. His other responsibilities included developing statistical models for predicting performance of parallel file systems and network storage devices working at exa-scale computing levels. Before joining Xyratex Ltd., he worked as a mathematical research scientist for Deep Visuals Ltd., a start-up company, where he specialized in developing models and algorithms, based on adaptive signal processing techniques, for browsing databases containing digital images. Prior to this he worked as a statistical signal processing research engineer at Dialog Devices Ltd., where his focus was to develop a statistical model and an algorithm, based on linear regression techniques, to predict the occurrence of arterial diseases in patients with diabetes. His academic interests include quantitative research for developing financial models for credit derivatives. Upon receiving the MFE degree, he aims to work as a quantitative researcher in a leading bank or an investment firm. His extra-curricular interests include badminton and football.

Tuling Lam received her BS in chemical engineering from the University of Illinois, Urbana-Champaign and her MS in materials science and engineering from the University of California, Los Angeles. She has a broad range of expertise in experimental design, analytical methods, and data analysis for chemical, environmental, and defense applications. As a graduate student at UCLA and as a visiting scholar at NASA Ames Research Center, she researched novel materials such as nano-particles for solar cell and radiation detection and dielectric elastomers. Prior to joining the MFE program, she worked as a manufacturing engineer at Edwards Lifesciences in the cardiovascular balloons division, where she was a six-sigma analyst for the latex balloon manufacturing process. She also worked on the development of the next generation non-latex balloon. After graduating the MFE program, she plans to pursue a career in portfolio analytics and investment management. Her favorite hobbies include vert skateboarding and playing the drums.

Yun (Vincent) Lei holds a bachelor's degree in finance with honors from Sichuan University, where he was awarded merit-based scholarships three years in a row. Currently, he is a candidate for the CFA Level II exam. Vincent developed his interest in quantitative finance during his internship in the quantitative investment division of Sinowise Investment, where he utilized quantitative strategies including index arbitrage, ETF arbitrage, and pairs trading to identify investment opportunities. He examined the profitability of pairs trading strategy in domestic equity market and developed a more profitable strategy that combined event-driven strategy and pairs trading. Prior to Sinowise, he interned as an Equity Research Analyst at Guosen Securities where he supported the Chief Analyst. As a research assistant at Sichuan University, he employed GARCH model to analyze the Shanghai Composite Index and estimated the index volatilities via different approaches. Upon graduation from UCLA, he will pursue a career in risk management and quantitative research. In his spare time, he enjoys hiking and strategic games.


Tianchang (Jack) Liu received his bachelor's degree of science in mathematics and economics from University of Washington. Prior to joining the MFE program, he worked as an intern in the financial engineering research group at Changjiang Securities Company Limited where he developed a dynamic asset allocation model based on HS300 Index, CSI Medium Term Note 50 Index and treasury bills. By utilizing regression method and linear optimization techniques, he designed a unique rating system to efficiently determine the present economy cycle in the Chinese stock market. He used the idea of frontier portfolio to minimize the risk in the customized Dongwu index fund product. Prior to his intern at Changjiang Securities, he has also interned at Westwood Financial Research where he showed his sell-side talent by successfully trade the exploration rights of a mine field which had more than 4 billion tons of coal reserves. In school, he conducted a quantitative analysis of S&P 500 Index, European Index, and various funds on the risk and expected return using Excel and R language. He has also worked on various interesting researches such as the proof of the ‘Las Vegas Point' Hypothesis. His academic interests include dynamic asset allocation, risk management and derivative pricing. After graduation, he aims at engaging in the financial derivatives pricing or holding a quantitative position on risk management side in one of the world's leading global investment banks. He is an amateur basketball player, also interested in golf, skiing, and traveling.

Xirui (Cliff) Liu graduated from the National University of Singapore with a bachelor of science in quantitative finance. Upon graduation in Jun 2010, Cliff joined Accenture Singapore, where most recently he worked on a FX platform upgrade project at Barclays Wealth. There, he studied trade lifecycles for various FX products and created future processes for trade capture, margin management and settlement. Prior to Accenture, he also interned at Markit Group, where his responsibilities included index calculation, ETF pricing and dividend forecasting. While completing his undergraduate degree, Cliff conducted a research project on pricing American options under jump diffusion processes, in which he verified the jump impact on option price and early exercise boundaries using finite difference method and method of lines. Cliff is also a CFA level II candidate. He chose to join the UCLA MFE program to seek further career opportunities in derivative trading and quantitative asset management. In his spare time, he enjoys swimming, skiing and golf.


William (Will) Longstreth received his bachelor's degrees from University of California at Santa Cruz in Electrical Engineering and Business Management Economics in 2004. During his senior design project at UCSC, he worked on the PCB design for a microwave satellite radio receiver through the prototyping stage. After a period of pursuing a career as a professional bicycle racer, he took a position in finance in 2007. Starting out as an operations associate at Money Market One, a small institutional broker dealer, he was exposed to all aspects of institutional fixed income trading. Quickly promoted to Vice President in 2009, he continued to develop as a fixed income sales trader working with top tier investment banks and Fortune 500 clientele. Concurrent with his sales role, he worked for Decision Analytics, an RIA, as a consulting analyst. His primary responsibility was to build and support predictive models of illiquid securities for pricing purposes, focusing on an auditable structure for Fortune 500 corporate treasuries. Upon receiving his MFE degree from UCLA, he aims to hold a quantitative position on the sales and trading side in a leading bank or an investment firm. His hobbies include competitive cycling and swimming.


Shipra Mahajan received a bachelor's degree in electronics and electrical engineering from Punjab Engineering College, India, with first class honors. She pursued an MBA in finance from Indian Institute of Management (IIM) Lucknow, where she graduated in the top 5/336 of her class and received the ‘Best Girl Student' award for all-round performance. She worked for STMicroelectronics, a Geneva-based semiconductor firm for two years where she led the implementation of a chip subsystem and created software testbenches for functional verification. During her MBA, she interned at SBI Funds Management where she initiated coverage on a consumer durables stock to support investment decisions. She gained exposure to dynamic asset allocation and derivative pricing models through academic projects. After her MBA, she joined Deutsche Bank as Investment Banking Analyst where she built a full-fledged valuation model of a Canadian oil company to determine its IPO price range. She created a dynamic database of natural resource companies which was instrumental in identification of multiple transaction opportunities. She passed the CFA Level III exam in June 2012, after which her passion for finance and technology led her to pursue an MFE. Upon graduation, Shipra intends to apply her quantitative and programming skills in quantitative research.

Sharon Paesachov holds a BS in Mathematics/Economics from University of California, Los Angeles (UCLA) and an MS in Applied Mathematics from California State University in Northridge (CSUN). Prior to joining the MFE program, he was a part-time lecturer at CSUN and tutored math at Los Angeles Valley College. His responsibilities as a part-time lecturer included writing his own lectures and lesson plans and grading students homework assignments and exams.


Andrew Park  received both his bachelor of science in mathematics and bachelor of arts in quantitative economics from the University of California, Irvine. He particularly enjoyed the subjects of econometrics and linear algebra during his academic career. In his senior year, he secured an internship at IMARC, LLC where he developed his programming skills and began exploring contemporary infrastructures and technologies. His responsibilities included writing efficient database queries, building fluid user interfaces, and creatively constructing applications according to specifications. His most accomplished project is his custom creation and integrations of a time management system for internal users that facilitates a user's time card, requests for time off, overtime calculations subject to state laws, and collaboration with fellow team members. His hobbies include high fidelity audio, automobiles, and computer hardware and software.


Alex Pickard graduated from The University of Texas at Austin in 2011 with a bachelor's degree in mechanical engineering and a business foundations certificate. While obtaining his degree, he became fascinated with the financial markets after buying his first stock in March 2009. Unsatisfied with his job after graduation, he decided to pursue his dream of working in the financial sector by enrolling in the Master of Financial Engineering program at UCLA Anderson School of Management. After graduation, he hopes to have a career as a quantitative trader or asset manager.


Rafael Porsani graduated at the top of his class (1st of 148 students) at the University of São Paulo, in Brazil, where he obtained a Bachelor's degree in Business Administration. He was also ranked as a top student at the electrical engineering department of the State University of Campinas in Brazil (3rd of 71 students), and received a fellowship from Brown University to study corporate finance for a semester. Upon graduation, Rafael was the recipient of awards from the Regional Council of Administration of the State of São Paulo, and from the University of São Paulo itself (FIA). He has also been awarded scholarships from Citigroup Foundation and from the CFA Society of Brazil. Rafael is a CFA Charterholder. He held an Associate position at Goldman Sachs before entering the MFE program at UCLA. At Goldman Sachs, he led discussions and presentations at client meetings by providing strategic and tactical investment recommendations; he conducted securities trades; and generated trade ideas based on Goldman Sachs' proprietary research. Rafael joined the MFE program at UCLA driven by his interest in quantitative finance, analytical problem solving and research.

Sushmit Roy received his bachelor's in engineering in information technology from Birla Institute of Technology (BIT), Mesra Ranchi, India. During his studies at BIT, Mesra, he did his final year thesis in multi-objective fuzzy linear programming. The aim of his thesis was to show that that by using a multi objective linear programming and applying the fuzzy logic concept one would get better optimized and multi decision satisfying results. Followed graduation, he worked for Tata Consultancy and Services as Assistant Systems Engineer. His primary role was that of an Automation Test Engineer and he was directly involved with the CitiMortgage US Real Estate Lending (REL) Business. In February of 2011, Sushmit moved on to work for Siemens Technology and Services Private Limited, a Corporate Development Center for Siemens in India. Working as a Senior Systems Engineer in Siemens, he got the opportunity to work for one of the Siemens flagship product, Soarian Clinicals, a clinical software solution package. Upon receiving his MFE degree from UCLA, his goal is to find a quantitative position in a leading bank or an investment firm. His hobbies include watching movies and travelling.

Sidharth (Sid) Shekhar received his bachelor's degree in computer engineering from the University of Mumbai and master's degree in information and computer science from University of California, Irvine (UCI). He holds the Financial Risk Manager (FRM) certification. Prior to joining the MFE program, he was a Senior Risk Data Analyst at Pacific Alternative Asset Management Company. His focus was on processing and analyzing position level data received from hedge funds through the use of RiskMetrics. His other responsibilities included working with new hedge funds during the due diligence process, using Bloomberg and RiskMetrics to research and model new position types, and handling various ad-hoc projects that were assigned to the Risk Data team. During his studies at UCI, he worked as an intern at the Capital Group Companies where he designed and built applications in C#. Upon receiving an MFE degree from UCLA, his goal is to work in a risk management department of an investment firm or a leading bank. Outside the classroom, his interests include watching soccer (he is an ardent supporter of Manchester United), playing basketball and reading fantasy and science fiction books.


Pithawat (Tan) Vachiramon holds a masters and a PhD in engineering and computing science at Oxford University. During his study, he worked on solving stochastic differential equations for optical wave propagation in turbulent medium. Using the resulting optimal solution, he created a new compensatory system to counter the effects of turbulent scattering. He then went on to work in the Acousto-Electromagnetic Medical Imaging group at Oxford during his post-doctoral research. Seeking commercial interests, he helped start a new company UntapTV as a CTO, and worked as a consultant for Prescient Investment in Thailand. His most recent project involved building a parallel algorithmic trading platform and an automated statistical analysis of S&P500 stocks. On graduating from the MFE program, he aims to work with a quantitative algorithmic trading team. His hobbies include archery and photography.

Anthony Vo earned his bachelor's degree with Magna Cum-Laude honors from the University of California, Irvine in mathematics specializing in probability and statistics. While in school, he interned at DIRECTV Corporation as a System Analyst and broadened his knowledge of database structures and designs, systems capacity analysis and network troubleshooting techniques. Prior to the MFE program, Anthony worked in the International Network Planning team at Urban Science Application, Inc. where he applied his analytical and researching skills to solve sales, profitability and customer loyalty issues for dealers around the world. His team's main objective was to help OEMs optimize and manage their offshore dealer networks for continuous improvement and efficiency. Anthony's contributions to the team were recognized when he had a leading role to develop a logical conversion tract process that benefits OEMs around the world to define contractual areas with their dealerships. Anthony also had a database developer role for a project in which his team built Business Management Intelligence product that managed and generated financial statements, dealer performance reports, and sales forecast analysis for dealers who subscribed to the contract with the OEMs.


Bo Wang is a recent graduate from University of Rochester majoring in financial economics and mathematics. Passionate about quantitative finance, he joined UCLA Anderson's MFE program hoping to explore this exciting domain and jump start his career. Having a particular interest in strategy and trading, Bo is actively searching for professional opportunities in these areas. When he is not glued to the computer screen, Bo enjoys a night out with friends.


Zhe (Graham) Wang received his bachelor's degree in economics from Sun Yat-sen University in 2008. He graduated at the top of his class and was honored with the Philip K H Wong Foundation Scholarship, Fulbright Guest Lecture Fellowship and University Excellence Scholarships for his consecutive outstanding academic and extracurricular performance. After graduation, he joined the Management Trainee Program in Hang Seng Bank for four years and gained exposure to China's and Hong Kong's financial markets. During the program he was assigned to several managerial posts in rotation. In charge of the receivables financing operation team, he controlled credit and operational risks of the bank's corporate portfolio by evaluating financial, operational and managerial performances. He was then transferred to the trade product development team, in which his main responsibilities were to detect business opportunities in capital market development, conduct research on the macroeconomic environment trends and create structuralized trade and treasury products to satisfy market needs. Riding on the internationalization of CNY accompanied by gaps between onshore and offshore currency markets, he bundled trade finance, non-delivery forward and interest rate swap to design arbitrage models. In the final year he led the project team to facilitate system and procedure re-engineering and operation automation. Graham is currently a CFA Level 3 candidate. His main interests include quantitative research, portfolio management and algorithmic trading. He has his sights set on holding a quantitative position in investment banks, investment management or trading firms.


Ensu Yang holds a BBA in actuarial science, finance and risk management and insurance from the University of Wisconsin, Madison. Yang's research interests are in the application of statistical methods to quantitative finance, and applying his risk management and insurance, finance and actuarial expertise in portfolio management and sales & trading in the future. Yang is in the process of applying modern portfolio theory and capital asset pricing model principles to portfolio optimization, and mastering several programming languages to guarantee efficiency of portfolio management. Prior to starting his MFE courses at UCLA, Yang worked as a data analyst intern at Chengdu Valuemax Tools Manufacturing Co., Ltd. Moreover, he was a private equity analyst intern at Blackmore Partners in Chicago during 2012 summer.


Haitao (Ace) Yang received his bachelor's degree from Purdue University, West Lafayette. During his studies in Purdue, he took a senior honors thesis class and worked on an academic project that designed sets of regressions to figure out the drive behind the luxury car market. After graduation, he took a short summer internship with Bank of China Investment Management fixed asset team. He projected the trend of the return from short-term government bonds with previous data. Upon receiving an MFE degree from UCLA, his goal is to achieve a quantitative position in an investment management department in a leading financial group or bank. His interests include basketball and movies.


Ling Yang received her bachelor's degree from Nanjing University of China and Ph. D in physics from the University of California, Riverside. During her studies at the University of California, Riverside, she worked as a researcher in the area of condensed matter physics where she developed theoretical models and obtained both analytical and numerical results of the electronic properties of novel semi-metal materials. There she ran simulations of her predictive models of the electronic density of these materials and performed statistical analysis. Following her graduate studies, she acted as a lecturer for the University of California, Riverside. Her primary responsibility was to lecture and manage her physics courses and teaching assistants. Upon receiving her MFE degree from UCLA, she aims at holding a quantitative position on risk management side in a leading bank or an investment firm. Her hobbies include table tennis and reading.


Jimmy Yeung holds a bachelor's degree in applied mathematics from University of California, Berkeley. During his time at Berkeley, he interned at Merrill Lynch & Co, Inc. where he reviewed and proposed investment strategies to financial advisor's clients. After graduation, he worked at FTI Consulting, analyzing complex financial and accounting data for fraud and trust mismanagement litigations. Later, he sought a position with US Bancorp's Asset Liability Management Team as a senior financial analyst. His main responsibilities there included actively monitoring a $22 billion product for credit and interest rate risk changes and developing a model that forecasts attrition from interest-bearing investment accounts. He also supported other team members' analyses on prepayment products such as MBS and retail leases. After graduating from the MFE program, his goal is to hold a pricing strategy or risk analyst position in an investment or asset management firm. Outside the classroom, his interests include traveling, playing badminton and training to be a participant on American Ninja Warrior.


Wenzhao Yu received his bachelor's degree from University of Illinois at Urbana-Champaign. Prior to joining the MFE program, he worked as an intern at Bank of China where he worked in Corporate Banking Department. He was responsible for evaluating and investigating in Corporation's financial statements and other documents in order to assist in the rating process. His other responsibilities included loan issuance services, fund transfers and customer communication. During his study at UIUC, he performed research on the topic of Medicaid generosity of nine states of U.S that suffered from hurricanes. He gathered Medicaid coverage and benefit data from various online databases and employed the data to evaluate Medicaid generosity. Besides, he worked as a grader and tutor for mathematics department where his primary responsibility was to teach linear algebra to students and grade homework. Upon receiving his master degree from UCLA, his goal is to seek a position at a leading investment bank. His hobbies included chess, traveling, badminton and reading.


Yang (Angie) Yuan received her bachelor's degree from UCLA, with a double major in Applied Math and Economics within three years. During her studies at UCLA, she worked as an intern at Merrill Lynch where she worked in wealth management where she designed goal-oriented investment plans for holding various securities. Her other responsibilities also included in-depth research and analysis of market activities utilizing Morningstar and Bloomberg. Prior to Merrill Lynch Global Wealth Management, she worked at Northwestern Mutual Network where she was responsible for asset allocation adjustments for different investors' expectations. At UCLA Department of Statistics, she worked on research projects like predictive abilities of stock prices, transformation of web apps, examination of applet exceptions using object-oriented programming. After graduation, her goal is to work in risk management in a leading bank or investment firm. Her hobbies include travelling and swimming.


Chenlu Zhou graduated cum laude from Peking University with a B.S. in mathematics and applied mathematics. Upon graduation, she joined UBS's equity derivatives structuring team in Hong Kong, being responsible for pricing structured products and booking traded products. She worked closely with both the sales team in order to better meet clients' needs and the trading team to evaluate the structures' risk. In addition, she adapted pricing tools for the new structures the team launched and developed a back-testing tool that was implemented within the structuring and sales team. She also assisted in the creation of customized risk management solutions specific to the client's risk-reward profile by providing exotic payoffs and cross-asset solutions for clients ranging from hedge funds and insurance companies to private banks and asset managers. Her work experience inspired her to join the UCLA Anderson MFE Program, as she strives to gain further in-depth knowledge and expand practice in finance. Post MFE, she would like to apply her analytical and quantitative skills to forge a strong career in the financial market.