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sophtang/README.md

Hi! I'm Sophia 🔮

Personal Website Google Scholar LinkedIn Twitter Substack

Hi! I am a third-year undergraduate student at the University of Pennsylvania conducting research in generative ML 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 the Mitchell Lab, designing lipid nanoparticle (LNP)-based delivery vehicles to transport mRNA across the blood-brain barrier.

My research ranges from developing theoretical Schrödinger bridge frameworks for generative modelling of branching and interacting particle systems to multi-objective RL and guidance techniques for discrete diffusion - 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 via LinkedIn or X.

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  1. TR2-D2 TR2-D2 Public

    Code for TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion

    Python 22 1

  2. EntangledSBM EntangledSBM Public

    Code for Entangled Schrödinger Bridge Matching

    Python 20 4

  3. BranchSBM BranchSBM Public

    Code for Branched Schrödinger Bridge Matching (ICLR 2026)

    Python 15 1

  4. PepTune PepTune Public

    Code for PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion (ICML 2025)

    Python 3

  5. A2D2 A2D2 Public

    Code for A2D2: Fine-Tuning Any-Length Discrete Diffusion for Adaptive Decoding

    Python 6