High Frequency Algorithmic Trading Professors in Global

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Evan Gatev
Simon Fraser University Canada
high frequency trading
trading strategies
machine learning
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Jianqing Fan
Princeton University United States of America
high-frequency finance
high-dimensional statistics
machine learning
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Kaixin Liu
London School of Economics and Political Science United Kingdom
high-frequency time series
machine learning
high-dimensional time series
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Aravindan Vijayaraghavan
Northwestern University United States of America
high-dimensional data analysis
machine learning
efficient algorithms
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
high-dimensional data
machine learning
high-throughput molecular data
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Manuel Lopez-ibanez
University of Manchester United Kingdom
machine learning
combinatorial optimisation
multi-objective optimisation
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Markus Pelger
Stanford University United States of America
high-dimensional data
machine learning
stochastic financial modeling
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Terri Duhon
University of Oxford United Kingdom
algorithmic trading
trading strategies
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Ali Hirsa
Columbia University United States of America
algorithmic trading
machine learning
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Michael Kearns
University of Pennsylvania United States of America
algorithmic trading
machine learning
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Michael Kearns
University of Pennsylvania United States of America
algorithmic trading
machine learning
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Michael Kearns
University of Pennsylvania United States of America
algorithmic trading
machine learning
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Dachuan Chen
Singapore Management University Singapore
high frequency econometrics
high dimensional statistics
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Mikko Pakkanen
Imperial College London United Kingdom
high-frequency financial data
machine learning
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Nikola Gradojevic
University of Guelph Canada
high-frequency finance
machine learning
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
stochastic algorithms
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
stochastic algorithms
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René Carmona
Princeton University United States of America
high frequency markets
large stochastic differential games
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David Thomas
University of Southampton United Kingdom
high-level synthesis
high-performance computing
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Yoseph Barash
University of Pennsylvania United States of America
high-throughput sequencing analysis
machine learning
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Lior Pachter
California Institute of Technology United States of America
high-throughput sequencing
machine learning
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