About

I'm a computational researcher working at the intersection of pure mathematics and drug discovery.

Currently, I serve work as an undergraduate researcher in three labs: the Lokey Lab and the Kim Lab at UC Santa Cruz and the Yarov-Yarovoy Lab at UC Davis. I develope geometric deep learning and more traditional computataional chemistry methods for cyclic peptide drug design and molecular property prediction.

The posts here range from peer-review-ready theoretical frameworks to playful mathematical explorations. What unifies them is the conviction that mathematical rigor and computational practicality aren't opposing forces—they're complementary tools for understanding complex systems.

Common threads throughout this work:

• Designed constraints that paradoxically improve efficiency
• Graph-theoretic approaches to chemical problems
• Information-theoretic bounds and optimal sampling strategies
• Algorithms with proven optimality guarantees
• Geometric and topological methods in molecular analysis
• Emergent phenomena in competitive systems

Beyond research, I play multiple instruments, produce and compose multiple genres of music, run a record label, write existentialist science fiction, develope computer games, create generative art, and more.

Whether proving theoretical bounds or exploring game-theoretic dynamics, the goal remains constant: illuminate the mathematical beauty underlying natural and designed systems, then use that understanding to build something better.