Adam Poliak is a Full-Stack Data Scientist and Computer Science faculty member at Bryn Mawr College with 11 years of experience bridging academic NLP research and production ML systems. He holds a PhD from Johns Hopkins University and has authored numerous top-tier NLP papers, contributing to practical tools such as a COVID-19 QA chatbot and high-performance social media classifiers used by the FDA to discover thousands of e-cigarette products. Adam teaches large undergraduate courses, mentors student research that led to multiple conference publications, and has a track record of securing research funding and building multidisciplinary teams. He consults for industry and government—most recently at Quantifind—deploying AI for risk intelligence and regulatory science. Known for combining rigorous research on model bias and generation with hands-on engineering, he moves ideas from papers into usable systems. Based in Philadelphia, he blends academic leadership with applied ML that impacts public health and financial risk workflows.
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