OpenReview
.net
OpenReview
.net
Login
OpenReview
.net
Login
Brian L. Trippe
Assistant Professor, Statistics, Stanford University
Joined
April 2019
Names
Brian L. Trippe
(Preferred)
,
Brian Trippe
Emails
****@mit.edu
(Confirmed)
,
****@columbia.edu
(Confirmed)
,
****@stanford.edu
(Confirmed)
Personal Links
Homepage
DBLP
Career & Education History
Assistant Professor
Statistics,
Stanford University
(stanford.edu)
2024
–
Present
Postdoc
Statistics,
Columbia University
(columbia.edu)
2022
–
2024
PhD student
Massachusetts Institute of Technology
(mit.edu)
2017
–
2022
Intern
Microsoft
(microsoft.com)
2021
–
2021
MS student
University of Cambridge
(cam.ac.uk)
2016
–
2017
Undergrad student
Columbia University
(columbia.edu)
2012
–
2016
Advisors, Relations & Conflicts
Coauthor
David Baker
2021
–
2023
PhD Advisor
Tamara Broderick
2018
–
2022
Coauthor
Richard E. Turner
2016
–
2017
Expertise
Protein Design
2021
–
Present
Hierarchical Modeling
2018
–
Present
Approximate Bayesian Inference
2017
–
Present
Publications
Finetuning Generative Models to Match Feature Distributions
Nathaniel Lee Diamant
,
Brian L. Trippe
SPIGM @ ICML Poster
Readers:
Everyone
Calibrating Generative Models
Henry Smith
,
Nathaniel Lee Diamant
,
Brian L. Trippe
Submitted to ICLR 2026
Readers:
Everyone
Calibrating Generative Models
Henry Smith
,
Brian L. Trippe
GenBio 2025 Spotlight
Readers:
Everyone
Predicting mutational effects on protein binding from folding energy
Arthur Deng
,
Karsten D. Householder
,
Fang Wu
,
K. Christopher Garcia
,
Brian L. Trippe
ICML 2025 poster
Readers:
Everyone
De novo design of protein structure and function with RFdiffusion
Joseph Watson
,
David Juergens
,
Nathaniel Bennett
,
Brian L. Trippe
,
Jason Yim
,
Helen Eisenach
,
Woody Ahern
Nature
Readers:
Everyone
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
Brian L. Trippe
,
Luhuan Wu
,
Christian A. Naesseth
,
David Blei
,
John Patrick Cunningham
1st SPIGM @ ICML Poster
Readers:
Everyone
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
Luhuan Wu
,
Brian L. Trippe
,
Christian A Naesseth
,
David Blei
,
John Patrick Cunningham
NeurIPS 2023 poster
Readers:
Everyone
SE(3) diffusion model with application to protein backbone generation
Jason Yim
,
Brian L. Trippe
,
Valentin De Bortoli
,
Emile Mathieu
,
Arnaud Doucet
,
Regina Barzilay
,
Tommi S. Jaakkola
08 May 2023
OpenReview Archive Direct Upload
Readers:
Everyone
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
Renato Berlinghieri
,
Brian L. Trippe
,
David R. Burt
,
Ryan James Giordano
,
Kaushik Srinivasan
,
Tamay Özgökmen
,
Junfei Zia
,
Tamara Broderick
Published: 03 Mar 2023, Last Modified: 15 Feb 2026
Physics4ML Poster
Readers:
Everyone
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
Renato Berlinghieri
,
Brian L. Trippe
,
David R. Burt
,
Ryan James Giordano
,
Kaushik Srinivasan
,
Tamay Özgökmen
,
Junfei Xia
,
Tamara Broderick
ICML 2023 Poster
Readers:
Everyone
View all 18 publications
Co-Authors
Arnaud Doucet
Arthur Deng
Christian A Naesseth
Christian A. Naesseth
David Baker
David Blei
David Juergens
David R. Burt
Doug Tischer
Emile Mathieu
Fang Wu
Helen Eisenach
Henry Smith
Hilary Finucane
Hilary K. Finucane
Jason Yim
John Patrick Cunningham
Jonathan H. Huggins
Joseph Watson
Junfei Zia
K. Christopher Garcia
Karsten D. Householder
Kaushik Srinivasan
Luhuan Wu
Nathaniel Bennett
View all 36 co-authors