Scholar
Brian L Trippe
Google Scholar ID: UBrbfSwAAAAJ
Assistant Professor of Statistics, Stanford University
Citations & Impact
Citations
3,216
H-index
13
i10-index
13
Publications
20
Co-authors
9
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple papers, including 'Practical and Asymptotically Exact Conditional Sampling in Diffusion Models' (Neural Information Processing Systems, 2023) and 'De novo design of protein structure and function with RFdiffusion' (Nature, 2023).
Research Experience
- Before joining Stanford, he 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.
Education
- PhD in Computational and Systems Biology from Massachusetts Institute of Technology in 2022; MPhil in Engineering from University of Cambridge in 2017; BA in Biochemistry and BA in Computer Science from Columbia University in 2016.
Background
- Assistant Professor at Stanford in the Department of Statistics, with an affiliation in Stanford Data Science. Research interests include probabilistic machine learning, Bayesian computation, computational biology, and protein design.
Miscellany
- Welcomes contacts from people of diverse backgrounds, especially those who are not white men.
