Graduate Student (EE)
Postdoc (Co-advised by Prof. Krishna Shenoy)
Postdoc (Co-advised Prof. Russ Poldrack)
Graduate Student (Statistics)
Graduate Student (CS)
Graduate Student (CS)
Research Assistant (2019-20)
(now PhD Student at Columbia)
Postdoc (Joint with Prof. Corey Keller, 2020-2022)
(now Scientist, Pillar Biosciences)
(now Asst. Prof. at NYU and Research Scientist at the Flatiron Institute)
With Jimmy Smith and Andy Warrington.
State-of-the-art performance on long range sequence modeling tasks with simple state space layers.
With Dieterich Lawson, Allan Raventos, and Andy Warrington.
We improve Variational Sequential Monte Carlo (VSMC) methods by targeting smoothing distributions instead of filtering ones.
With Julia Costacurta, Lea Duncker, Alex Wiliams, and the Datta Lab. NeurIPS, 2022
We extend MoSeq — a popular tool for behavioral segmentation — to capture continuous variations, particularly in the vigor of movement.
With Celia Beron, Shay Neufeld, and Bernardo Sabatini. PNAS, 2022
We connect logistic regression models, drift diffusion models, and ideal Bayesian observer models of mouse behavior in a two-armed bandit task.
With Alex Williams, Erin Kunz, and Simon Kornblith. NeurIPS 2021
We formalize metrics on biological and artificial neural representations that obey symmetries and allow principled analysis.
With Jimmy Smith and David Sussillo. NeurIPS 2021
We try to bridge the gap between recurrent neural networks and switching linear dynamical systems with a new model called the Jacobian SLDS.
With Isabel Low, Alex Williams, Malcolm Campbell, and Lisa Giocomo. Neuron, 2021
MEC representations exhibit remarkable remapping even in the absence of any changes to sensory cues or task demands.
With Libby Zhang, Jesse Marshall, Tim Dunn, and Bence Ölveczky. AISTATS, 2021
We develop GIMBAL, a Bayesian hierarchical model for 3D pose estimation.
With Alex Williams, Anthony Degleris, and Yixin Wang.
We develop Neyman-Scott processes—a type of point process model—for discovering sequences in neural spike trains.
With Josh Glaser, Matt Whiteway, John Cunningham, and Liam Paninski. NeurIPS, 2020
State space models for simultaneous recordings of multiple neural populations.
With Robert Johnson and the Engert Lab. Current Biology, 2020
Rob collected a huge dataset of larval zebrafish behavior in natural environments. We developed and fit point process models to see how past behavior and environmental input shape action selection.
With David Zoltowski and Jonathan Pillow. ICML, 2020
We unify and generalize drift diffusion models as recurrent switching linear dynamical systems.