Matthew R Whiteway

Researcher, Zuckerman Institute, Columbia University

Joined

August 2019

Names

Matthew R Whiteway (Preferred)

Matthew Whiteway

Matthew R. Whiteway

Emails

****@columbia.edu (Confirmed)

Personal Links

Career & Education History

Researcher

Zuckerman Institute, Columbia University (columbia.edu)

2022 – Present

Postdoc

Zuckerman Institute, Columbia University (columbia.edu)

2018 – 2022

PhD student

Applied Mathematics, University of Maryland, College Park (umd.edu)

2012 – 2018

Undergrad student

Physics, University of Oklahoma (ou.edu)

2006 – 2011

Advisors, Relations & Conflicts

Coauthor

Eva L Dyer

2025 – Present

Postdoc Advisor

Liam Paninski

2018 – Present

PhD Advisor

Daniel A Butts

2014 – 2018

Expertise

computational neuroscience

2014 – Present

Publications

Recurrent switching dynamical systems models for multiple interacting neural populations
Joshua I Glaser, Matthew R Whiteway, John Patrick Cunningham, Liam Paninski, Scott Linderman
- OpenReview Archive Direct Upload
- Readers: Everyone
An uncertainty-aware framework for data-efficient multi-view animal pose estimation
Lenny Aharon, Keemin Lee, Karan Sikka, Selmaan N. Chettih, Cole Lincoln Hurwitz, Liam Paninski, Matthew R Whiteway
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Animal behavioral analysis and neural encoding with transformer-based self-supervised pretraining
Yanchen Wang, Han Yu, Ari Blau, Yizi Zhang, International Brain Laboratory, Liam Paninski, Cole Lincoln Hurwitz, Matthew R Whiteway
- ICLR 2026 Poster
- Readers: Everyone
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools
Dan Biderman, Matthew R Whiteway, Cole Lincoln Hurwitz, Nicholas R Greenspan, Robert S Lee, Ankit Vishnubhotla, Michael Schartner, Julia M Huntenburg, Anup Khanal, Guido T Meijer, Jean-Paul G Noel, Alejandro Pan-Vazquez, Karolina Z Socha, Anne E Urai, International Brain Laboratory, Richard Warren, Dillon Noone, Federico Pedraja, John Patrick Cunningham, Nathaniel Sawtell et al. (1 additional authors not shown)
- Nature Methods
- Readers: Everyone
Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders
Matthew R. Whiteway, Dan Biderman, Yoni Friedman, Mario Dipoppa, Estefany Kelly Buchanan, Anqi Wu, John Zhou, Niccolò Bonacchi, Nathaniel J. Miska, Jean-Paul Noel, Erica Rodriguez, Michael Schartner, Karolina Socha, Anne E. Urai, C. Daniel Salzman, International Brain Laboratory, John P. Cunningham, Liam Paninski
- 2021 (modified: 17 Apr 2023)
- PLoS Comput. Biol. 2021
- Readers: Everyone
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations
Joshua I. Glaser, Matthew Whiteway, John P. Cunningham, Liam Paninski, Scott W. Linderman
- 2020 (modified: 06 May 2026)
- NeurIPS 2020
- Readers: Everyone
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking
Anqi Wu, Estefany Kelly Buchanan, Matthew Whiteway, Michael Schartner, Guido Meijer, Jean-Paul Noel, Erica Rodriguez, Claire Everett, Amy Norovich, Evan Schaffer, Neeli Mishra, C. Daniel Salzman, Dora Angelaki, Andrés Bendesky, International Brain Laboratory, John P. Cunningham, Liam Paninski
- 2020 (modified: 06 May 2026)
- NeurIPS 2020
- Readers: Everyone
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos
Eleanor Batty, Matthew Whiteway, Shreya Saxena, Dan Biderman, Taiga Abe, Simon Musall, Winthrop Gillis, Jeffrey Markowitz, Anne Churchland, John P. Cunningham, Sandeep R. Datta, Scott W. Linderman, Liam Paninski
- 2019 (modified: 06 May 2026)
- NeurIPS 2019
- Readers: Everyone
A latent variable modeling framework for analyzing neural population activity
Matthew Whiteway
- 2018 (modified: 19 Aug 2022)
- undefined 2018
- Readers: Everyone

Co-Authors

View all 60 co-authors