David L.

Quantitative Trader at Tower Research Capital

David L. is a quantitative trader at Tower Research Capital since 2023, with prior experience as a researcher in the Dror Lab at Stanford Artificial Intelligence Laboratory, where David focused on equivariant transformer networks for structural biology and co-authored a paper accepted to ICML WCB 2022. David has held roles across various prestigious organizations, including being a founding member and fellow director at the Stanford Open Data Project and serving as a software engineer at Glean and Facebook AI. Educational qualifications include a Master's degree in Statistics and a Bachelor's degree in Computer Science from Stanford University, as well as attendance at the University of Oxford's Magdalen College. David's collaborative work has involved mentoring under renowned academics such as Andrew Ng and Ron Dror.

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