2026

Hi! My name is Stan, and I want to create robust yet cautious machine learning systems that can meaningfully improve patient care, especially for those in under-served communities.
I care deeply about the usefulness of machine learning when deployed clinically. My current research interests revolve around algorithmic bias and methods to rigorously evaluate and monitor AI.
I also believe in slow science, which is not about time to completion but about the careful and meticulous art of advancing science.
Shoot me an email if you’d like to chat! And if you include the word “stupefy” in your email, I’ll know you read this :).
Currently
Reading on sequential hypothesis testing and changepoint detection, trying out ultimate frisbee, and thinking about creating a club.
News
- San Francisco, USA
- Rio de Janeiro, Brazil
- Serving as assistant chair for NeurIPS position papers track!
- Life update: moved to California!
- Toronto, CA
- Boston, USA
- Cartagena, Colombia
- Valparaiso, Chile
- Virtual
Publications
Journal
Conference
Workshop
2026
2025
2024
2023
2021
Education
University of California, Berkeley
PhD. Computational Precision Health
2025 – 2030 (Expected)
University of California, San Francisco
PhD. Computational Precision Health
2025 – 2030 (Expected)
University of Toronto
B.Sc. Computer Science Specialist
2019 – 2024