I'm Rikhin. I build things at the intersection of biology and computation — not because it's a trendy intersection, but because the problems there are genuinely hard and the tools to solve them don't exist yet. So I make them.

At Adaptyv Bio, I work on protein screening data — binding curves, expression levels, the kind of messy real-world datasets that don't behave like textbook examples. Before that, I spent time at MedARC decoding fMRI brain scans into interpretable neural representations using deep learning. That research is currently under review at ICML. At Purdue, I ran computational drug discovery targeting the STAT3 protein, docking thousands of compounds from ZINC and ChEMBL libraries against SH2 and DNA-binding domains.

On the building side: Auteur is an AI copilot for Adobe After Effects that won the Congressional App Challenge. It has an autonomous agent mode that researches documentation, generates ExtendScript code, and keeps iterating until the task is done. Vira is a healthcare hackathon organization I founded — 20 chapters across America, over a thousand students building things that matter.

I think in systems. I'm drawn to problems where the answer requires understanding something at multiple levels of abstraction simultaneously — molecular interactions and neural architectures, user behavior and recommendation logic, biological signals and statistical noise. The work I care about sits in those overlaps.