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Petter N. Kolm is a Clinical Professor in the Department of Mathematics at New York University, where he also serves as the Director of the Mathematics Finance M.S. Program. He holds a Ph.D. from Yale University and has extensive experience in the fields of data science and financial mathematics. His academic focus encompasses various dimensions of econometrics and quantitative trading strategies, with a particular interest in optimization techniques applicable to financial markets. Kolm's work is characterized by applying advanced methods in machine learning and systematic trading approaches to improve risk management and enhance investment strategies. He is actively engaged in research related to robo advisory services and smart beta strategies, contributing to contemporary discussions around tax-aware investing and transaction costs. With a strong foundation in mathematics from prestigious institutions such as ETH Zurich and the Royal Institute of Technology, Kolm is dedicated to advancing the understanding and application of mathematical concepts in finance.
Open Program in Biomedical Sciences (Vilcek Institute) covers departments like Biochemistry, Pathology, Neuroscience, Microbiology, etc.