Daeho Lee is a quantitative trader and MIT student double-majoring in applied math and computer science with a focus on AI, blending deep theoretical math with hands-on algorithmic finance experience. He has research experience at MIT Lincoln Laboratory and CSAIL—where he worked on tropical random matrix theory and property testing—and is currently a Quantitative Trader at Citadel Securities. Over a decade of engagement with math education and outreach, including lecturing for the San Diego Math Circle and mentoring at the Ross Mathematics Program, informs his clear communication of complex ideas. Comfortable with large-scale simulation and visualization on supercomputing resources, he pairs rigorous probabilistic reasoning with practical coding chops and a penchant for restoring and building “old school” data projects.
Contributions:29 pushes, 1 branch in 2 years 2 months
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