I am on the job market! Feel free to get in touch! Here's my CV.
I'm a hacker at heart, moonlighting as a Senior Research Scientist at Cruise AI Research. I completed my PhD at the University of Washington where I worked on machine learning and robotics, advised by Sidd Srinivasa. My research interests span deep learning, programming languages, and immunology. I've worked variously on Bayesian modeling, reinforcement learning, generative models, deep learning empiricism, and more.
Before joining UW I spent four wonderful years at Brown University, followed by a stint in Silicon Valley working on self-driving cars among other wild things.
My life goal is to cure spondyloarthritis. If you are experiencing SpA and would like to donate blood to research, sign up @ End AS.
You can find me on Twitter, GitHub, and LinkedIn. Here's my CV.
This is often out of date. Consider checking my Google Scholar profile.
Git Re-Basin: Merging Models modulo Permutation Symmetries
S. Ainsworth, J. Hayase, S. SrinivasaICLR 2023 Oral
[#1 highest score out of 4,849 submissions] [tweet thread] [code] [video]
Invited talks at Berkeley AI Research, Columbia, ML Collective, Pacific Northwest National Labs, Cruise, and more.
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation
S. Ainsworth, M. Barnes, S. SrinivasaMosaic: A Sample-Based Database System for Open World Query Processing
L. Orr, S. Ainsworth, W. Cai, K. Jamieson, M. Balazinska, D. SuciuCIDR 2020
Disentangled VAE Representations for Multi-Aspect and Missing Data
S. Ainsworth, N. Foti, E. FoxarXiv preprint
oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis
S. Ainsworth, N. Foti, A. Lee, E. FoxICML 2018 [video]
Interactive Preference Learning of Utility Functions for Multi-Objective Optimization
I. Dewancker, M. McCourt, S. AinsworthNIPS 2016 workshop
And more on my GitHub...