Wonjun Son

Quantitative Researcher

Wonjun Son is a Quantitative Researcher at Jump Trading LLC since May 2022, with prior experience as a Machine Learning Engineer at Lyft from March 2021 to May 2022, where models for pricing optimization were developed. Additional roles include Research Assistant at Columbia University, contributing to video event classification and uncertainty-aware MCTS based reinforcement learning, and Teaching Assistant for machine learning courses. Earlier at Lyft, Wonjun improved pickup ETA predictions through model development and also held positions as AI Research Intern at Qraft Technologies, developing reinforcement learning algorithms, and various research assistant roles at Yonsei University and UC Berkeley, focusing on neural networks and physics applications. Educational background includes a Master's degree in Computer Science from Columbia University and a Bachelor's degree in Physics from Yonsei University.

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