Brian Trippe arrives as Assistant Professor of Statistics

A new appointment will join our department on July 1 (jointly supported by Stanford Data Science). Brian comes to us from a postdoctoral stint with the Columbia University Department of Statistics as well as a visiting researcher post with the University of Washington's Institute for Protein Design in Seattle. He earned his PhD in Computational and Systems Biology from MIT where he was a founding co-organizer of the Machine Learning for Protein Engineering Seminar Series.

Brian's recent research develops and applies statistical machine learning methods to solve challenges that arise in biotechnology and medicine. Through work on computational protein design over the past two years, he and his collaborators have synthesized hundreds of new molecules that have been subsequently validated in laboratory experiments. His future work aims to develop these machine learning methods to enable biotechnology solutions to challenges ranging from disease eradication to climate change-robust agriculture, with a long-term goal of building statistical foundations for data-driven genetic engineering.