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Justin L W. is a quantitative researcher currently at WorldQuant since July 2022, with a history of significant contributions in various research and engineering roles. Previously, Justin worked at The D. E. Shaw Group, where optimal trading execution algorithms were analyzed, and reinforcement learning methods were explored. Additional experience includes positions at the National Center for Supercomputing Applications utilizing Physically Informed Neural Networks, a research engineer role at Matic Robots focusing on face recognition, and a deep learning engineer role at SimBioSys, Inc. contributing to tumor growth forecasting models. Early research involved work at Tsinghua University on brain-inspired computing and at Florida Atlantic University, where oceanography project outcomes were published in the Journal of Geophysical Research. Justin holds a Bachelor of Science in Computer Science from the University of Illinois Urbana-Champaign, earned in 2022, along with an International Baccalaureate in Computer Science from Suncoast Community High School.