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February 2025 - present
I work as a Quantitative Researcher at Nebula Research.
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August 2023 - February 2025
I worked as an Alpha Researcher at Trexquant, developing machine learning models to discover Alpha signals and predict future stock returns.
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September 2018 - June 2023
I finished my Ph.D. in Biostatistics at Columbia University, advised by Dr. Shuang Wang. My research focused on computational algorithms for electronic health record (EHR) and multi-omics data.
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Summer 2022
I worked as a Data Scientist Intern at Meta Platforms, conducting analysis on personalized recommendation systems for Instagram shopping.
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January 2021 - December 2021
I worked as a Data Scientist Intern at Roche pRED, performing statistical analysis and building deep learning models on genomic data.
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Summer 2021
I worked as a Quantitative Analytics Summer Associate at JPMorgan Chase & Co., conducting research in deep learning models using loan-level mortgage data.
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Summer 2018
I previously worked as a Machine Learning Engineer Intern at MediaMath, building machine learning based bid-filters to identify and filter out low quality bid opportunities.
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2016 - 2018
I received a M.S. in Biostatistics with a concentration on Statitical Genetics at Columbia University.
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2012 - 2016
I completed my B.S. in Mathematics at Sun Yat-sen University, Guangzhou, China.
