Xiaoran Hao is an experienced data scientist and academic specializing in machine learning and mathematical sciences. Currently serving as an Advisor in Advanced Analytics and Data Science at Eli Lilly and Company, Xiaoran previously held a Machine Learning Intern position at Bristol Myers Squibb, where involvement included conducting literature reviews on drug dose-response modeling and engaging in cross-functional team discussions. As a Graduate Research Assistant at Rutgers University, Xiaoran focused on the Coupled Variational Autoencoder project, addressing critical challenges in existing models and proposing an Optimal Transport-based framework. Xiaoran holds a PhD in Mathematical Science from Rutgers University, a Master's in Financial Engineering from New York University, and a Bachelor's in Mathematical Finance and Mathematics from Wuhan University.
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