Sophia Tang

Hi! I am a final-year undergraduate student at the University of Pennsylvania conducting research in generative modeling for scientific discovery. Aside from research, I study computer science and statistics in the Jerome Fisher Program in Management & Technology.

Currently, I’m part of the Chatterjee Lab, developing theoretical ML frameworks for biological design, and this summer, I’m a visiting researcher at the Kempner Institute at Harvard University.

My research ranges from developing theoretical Schrödinger bridge frameworks for generative modelling of branching and interacting particle systems to reward alignment and guidance techniques for discrete generative models - but I’m always exploring new theoretical ideas and thinking about interesting problems to apply them to!

I also write long-form tutorial papers on foundational topics in machine learning and shorter technical articles on my Substack, Alchemy Bio. I recently released Foundations of Schrödinger Bridges for Generative Modeling (220 pages) and A Complete Guide to Spherical Equivariant Graph Transformers (99 pages), which aim to break down complex theoretical concepts for a broad audience.

If any of these topics sparks your interest, I would love to connect!