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Ali Hirsa is a Professor of Professional Practice at the Data Science Institute of Columbia University and a member of the Department of Industrial Engineering and Operations Research. Since joining the Institute in July 2017, he has contributed significantly to research and education in algorithmic trading, machine learning, data mining, and computational finance optimization. He has held various prestigious positions, including Adjunct Professor since 2000 and Managing Partner at Sauma Capital, LLC. Ali's previous experience includes roles at DV Trading, LLC and Caspian Capital Management, LLC, where he led quantitative strategies. He also has a robust academic background with a PhD in Applied Mathematics from the University of Maryland, where he was supervised by Professors Howard C. Elman and Dilip B. Madan. Ali's work has been published in notable texts, including "Computational Methods in Finance" and he has been a frequent speaker at academic and practitioner conferences. Additionally, he has served on various boards, including the Board of Visitors at the College of Computer, Mathematical, and Natural Sciences at the University of Maryland, College Park.
Columbia University • New York
Joined the Department of Industrial Engineering and Operations Research and contributed to the Data Science Institute.
Columbia University • New York
Contributed to academic programs and mentorship in the Department.
Sauma Capital, LLC • New York
Led hedge fund strategies and managed quantitative investment.
DV Trading, LLC • New York
Oversaw global quantitative trading strategies.
Caspian Capital Management, LLC • New York
Developed analytical strategies for trading operations.
A method that addresses allocation of filled orders (post-trade) among multiple managed accounts in a fair and unbiased manner.
Department of Anthropology (GSAS)