Summary
Kevin Du is an ML engineer and researcher with 13 years of software experience who builds reliable, explainable systems that translate foundational research into real-world value for healthcare and climate. Currently a Fulbright Research Grantee at ETH Zürich, he studies explainability for NLP and LLMs and was co-author on an Outstanding Paper at ACL 2023 that generalizes backpropagation for gradient-based interpretability. Previously at Flatiron Health he designed ML infrastructure and weak-supervision approaches to unlock insights from cancer patient records, pairing production-grade engineering with data-centric modeling. Trained in computer science (BS/MS, Brown) with a mathematics background, he blends rigorous theory—reinforcement learning and interpretability—with hands-on backend and Java development experience from internships at Google and BlueJeans. Outside core research, he has led large teaching and developer teams, showing a knack for scaling both systems and people.
13 years of coding experience
5 years of employment as a software developer
Mathematics, Mathematics at The University of Akron
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Brown University