- Agents of Chaos: arXiv preprint, 2026 (1 citation)
- NNsight and NDIF: Democratizing Access to Foundation Model Internals: Co-first authorship, ICLR 2025. Explore large model internals easily.
- A Saliency-based Clustering Framework for Identifying Aberrant Predictions: NeurIPS Workshop Paper, 2023 - won best poster
- 1st Place Solution - Vesuvius Ink Competition: Presentation, 2023, for 60 people. Presenting on our winning solution to a $100,000 Kaggle competition.
- Hands-On Network Machine Learning with Python: Textbook, 2025, Cambridge University Press. Second author. 524 pages, 147 figures. (2 citations)
- A low-resource reliable pipeline to democratize multi-modal connectome estimation and analysis: Paper, 2022, Nature Methods, under review. Second author, wrote most of the infrastructure for the codebase. (79 citations)
- ICML Conference Highlights: Talk about new machine learning techniques in drug discovery and medicine presented at ICML
- Working with LLMs: Talk, 2023, for 100 people at the AIML San Diego meetup
- Role of CAMKII in Associative Conditioning and GLR-1 Expression in C. Elegans: Poster, presented at Society for Neuroscience, 2017, Washington, DC. Later author, conducted most of the later experiments.
- Effects of an unc-43 (CaMKII) Gene Deletion on Short-Term Memory for Associative Conditioning in C. elegans: Talk, presented at Psychfest, 2017, Bellingham, WA.