Phillip Guo

Phillip Guo is an accomplished individual with diverse experience in quantitative trading and AI research. As a Quant Trader Intern at Jane Street in the summer of 2024, Phillip worked on projects involving Domestic ETF and Commodities desks. Prior to this, as an Alignment Researcher at ML Alignment & Theory Scholars, Phillip co-authored significant research on Latent Adversarial Training, achieving state-of-the-art robustness results. Phillip's previous role as an AI Researcher involved analyzing representations of concepts like truth and bias in LLMs. Additionally, Phillip was selected as one of 25 researchers for the Alignment Research Engineer Accelerator, where skills in mechanistic interpretability and reinforcement learning were developed. Academic research at the University of Maryland focused on global optimization, resulting in presentations at the Winter Simulation Conference 2022. Phillip is currently pursuing an education at the University of Maryland.