Dr. Brian Trippe is an assistant professor at Stanford in the Department of Statistics, with an affiliation in Stanford Data Science.
In his research, Dr. Trippe develops probabilistic machine learning methods to address challenges in biotechnology and medicine. Recently, his focus has been on generative modeling and inference algorithms for protein engineering.
Before joining Stanford, Dr. Trippe was a postdoctoral fellow at Columbia University in the Department of Statistics, and a visiting researcher at the Institute for Protein Design at the University of Washington.
Dr. Brian Suffoletto is a practicing emergency physician and NIH-funded investigator with expertise in designing and testing digital behavioral interventions. After clinical training in Emergency Medicine at the University of Pittsburgh, he completed a Master's of Science with a focus on Clinical Research. In 2014, he was awarded an NIAAA Career Development Award (K23) to develop skills and knowledge on addiction treatment and behavioral interventions.
Home Department: Bioengineering
Mentor: Justin Annes (Medicine - Endocrinology)
Dr. Brian Hie is an Assistant Professor of Chemical Engineering and Data Science at Stanford University, the Dieter Schwarz Foundation Stanford Data Science Faculty Fellow, and an Innovation Investigator at Arc Institute. Dr. Hie supervises the Laboratory of Evolutionary Design, which conducts research at the intersection of biology and machine learning.
