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Andrew Rothman is a Staff Applied Scientist at The Cambridge Group, specializing in machine learning and causal inference for e-commerce, where projects encompass deep learning-driven revenue forecasting and customer segmentation. Rothman also serves as a Graduate Course Facilitator at Stanford University, contributing to various AI and deep learning courses while leading the development of an online data science course for medicine. As an independent researcher, Rothman focuses on experimentation and causal inference techniques. Previous roles include Principal Applied Data Scientist at BuildGroup, Chief Data Scientist at AIMatters, and several leadership positions in government and private sectors, showcasing extensive expertise in machine learning methodologies and applications across multiple industries. Educational credentials include advanced degrees in biostatistics, epidemiology, and engineering from institutions like Harvard University and MIT.