Neuroscientist · Penn AI Fellow
University of Pennsylvania
I study how primate brains encode social intelligence and how these principles can inform artificial ones. I'm co-advised by Konrad Kording and Michael Platt.
My research combines neuroscience, machine learning, and ethology to study how biological and artificial systems process social and visual information in natural settings. My dissertation builds computational infrastructure for naturalistic primate neuroscience and uses it to study how the macaque mid-STS encodes social behavior in freely moving animals.
I went to college at the University of Miami, where I studied Neuroscience and Economics. I then briefly worked as a Psychometrician before grad school.
Research
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Primate neuroethology: a new synthesis
Why we should study primate intelligence in more natural conditions.
↳ In the news: Big Think, Scientific American, Phys.org, Nature News, Penn Today
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PrimateFace
A machine learning resource for cross-species primate facial analysis.
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Zero-Ablation Overstates Register Function in Vision Transformers
How vision models process and represent visual information.
News
- Mar 2026 📝 Our work on register tokens in vision transformers accepted to the How Do Vision Models Work? (HOW) workshop at CVPR 2026!
- Feb 2026 🎉 Designated a Penn AI Fellow for 2026!
- Dec 2025 🎉 Awarded Gemini Academic Program credits to support our AI for behavior modeling work.
- Dec 2025 🗞️ Our synthesis on primate neuroethology was featured in Big Think!
- Dec 2025 Gave a guest lecture on (AI for) primatology at Marc Schmidt & Yun Ding’s Animal Behavior course at UPenn. Slides here.