معرفی
Clinton Brownley, Ph.D., is a Lecturer at UC Berkeley's School of Information, teaching graduate courses in interactive data visualization, applied machine learning, and experimentation for the MIDS program. He also instructs a regression analysis course for NYU's A3SR program and leads annual machine learning workshops at ML Week and ODSC West conferences.
- Education: Carnegie Mellon University, American University
His research and professional work emphasize causal inference, machine learning, and data visualization techniques. Clinton bridges academia and industry through his roles at tech companies like Tala, Meta (formerly Facebook), and WhatsApp, where he focused on analytics, experimentation, and infrastructure optimization.
Clinton is a co-author of two books: Foundations for Analytics with Python and Multi-objective Decision Analysis. He has held leadership positions in professional organizations, including past-president of the San Francisco Bay Area Chapter of the American Statistical Association.
