Trexquant Investment LP
Longtao Han is an experienced software developer at Trexquant Investment LP since September 2018, with a robust background in computational research. Previous roles include serving as a research assistant at both Princeton Plasma Physics Laboratory and Institute for Advanced Computational Science at Stony Brook University, focusing on theoretical research and simulation in plasma nanosynthesis mechanisms, as well as performing molecular dynamics simulations and DFT calculations. Additionally, Longtao worked as a teaching assistant at Stony Brook University, where responsibilities included tutoring for an engineering course and conducting research on Nafion membrane modifications for enhanced fuel cell performance. Longtao holds a Ph.D. in Materials Science with a focus on Computational Physics/Chemistry from Stony Brook University and a Bachelor of Engineering in Materials Science and Engineering from Beihang University.
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Trexquant Investment LP
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Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.