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Attilio Meucci

ARPM Founder

Attilio Meucci is the founder of ARPM - Advanced Risk and Portfolio Management. Prior to ARPM, Attilio was the chief risk officer at KKR; and the global head of research for Bloomberg’s risk and portfolio analytics platform. Attilio has taught at Columbia-IEOR, NYU-Courant (New York), Bocconi University (Milan), and NUS-Business School (Singapore). Attilio earned a BA summa cum laude in Physics from the University of Milan, an MA in Economics from Bocconi University, a PhD in Mathematics from the University of Milan and is a CFA charterholder.

Javier Peña

Professor at Carnegie Mellon University

Javier Peña is a full professor of operations research at Carnegie Mellon University. He teaches Financial Optimization and Asset Management in the Masters of Computational Finance program at Carnegie Mellon University. He is the co-author of the upcoming second edition of the textbook "Optimization Methods in Finance". His research interests span all aspects of optimization with a particular interest in optimization models for portfolio management and for data science. Javier has published his research in a variety of outlets including Quantitative Finance, the Journal of Risk, and Mathematics of Operations Research.

Til Schuermann

Partner at Oliver Wyman

Til Schuermann advises private and public sector clients on stress testing, capital planning, enterprise-wide risk management, model risk management and corporate governance including board oversight. Before joining Oliver Wyman, Til was a Senior Vice President at the Federal Reserve Bank of New York where he was head of Financial Intermediation in Research and head of Credit Risk in Bank Supervision. Til has numerous publications in both academic and practitioner journals, and has taught at Columbia University and at the Wharton School where he is a Research Fellow. Til received a Ph.D. in Economics from the University of Pennsylvania.

Ugur Koyluoglu

Partner at Oliver Wyman

Ugur Koyluoglu leads the Americas Finance & Risk and Public Policy practices at Oliver Wyman. Ugur has served as a consultant to senior executives at some of the largest banks, clearing and settlement houses, asset managers, multi-lateral development banks, and private equity houses around the world. Before joining Oliver Wyman, Ugur taught applied mathematics and engineering at Princeton and Koc Universities. He holds a PhD in Civil Engineering and Operations Research from Princeton University.

Tai-Ho Wang

Professor at Baruch College

Tai-Ho Wang is a full professor in mathematics at Baruch College, City University of New York. He is one of the core instructors in Baruch's MFE program, where he teaches Probability and Stochastic Processes in Finance and Probability Theory for Financial Applications in the PreMFE seminars. His research in quantitative finance specializes in implied volatility modeling, exotic option pricing, optimal execution in market impact models, and information dynamics in financial market.

Angela Loregian

ARPM Researcher

Angela Loregian is a senior researcher at ARPM, where she has contributed since inception to the creation of the ARPM Lab. In her previous academic career Angela has published on theory and applications of thick tailed processes in asset management. Angela runs research seminars and webinars for ARPM worldwide, including within the Quant Bootcamp, ARPM's flagship event. Angela earned a Ph.D. in Mathematics for financial market analysis, an M.S. in Economics and Finance, and a B.S. in Economics from the University of Milano-Bicocca.

Stu Kozola

Head of product management at MathWorks

Stu Kozola leads product management for Computational Finance and FinTech at MathWorks. He has over 15 years of experience in data analytics, quantitative finance, simulation, and designing and implementing large-scale computational system. Stu holds the FRM designation from GARP and an MBA from Carnegie Mellon University.

Sophie King

ARPM Researcher

Sophie King is a researcher at ARPM, where she develops and delivers course materials, with a focus on straightforward communication. Sophie earned a Bachelor of Science in Mathematics from the Australian National University and a Master of Applied Statistics from Macquarie University. Her prior experience includes 7 years of statistical modeling in the insurance and marketing industries..

Milena Kojić

ARPM Researcher

Milena Kojić is a researcher and lead of the Data Visualization Center at ARPM. She received a Ph.D. in Stochastic optimization, M.S. in Applied Mathematics, and a B.S. in Financial Mathematics at the Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Serbia. Her research interests revolve around numerical optimization, data mining, and statistical/mathematical modeling. Prior to ARPM, Milena has more than 8 years of experience in university-level teaching and research. She is co-founder of the R-ladies Novi Sad group which is a part of R-ladies’ global community.