research

I study how lifelike behaviors such as memory, adaptation, coordination, sensing, and intelligence emerge from physical biological systems.

My work sits at the intersection of computational modeling and biological systems. I’m interested in building computational frameworks that make complex biological behavior more predictable, interpretable, and engineerable.

Ultimately, I want to develop systems that help us understand how life organizes itself and how we might build new forms of programmable biological intelligence.

→   view research docs

lines of inquiry

How do physical forces drive coordinated behavior in living systems?

the bahmila lab | biomechanics and biomimetics with spirostomum

Studied ultrafast contraction in Spirostomum ambiguum, examining hydrodynamic signaling, mechanosensation, and collective synchronization in single-celled organisms.

→   learn more

How can memory and learning exist without a nervous system?

NSF center for cellular construction | intelligence in stentor

Investigated learning and habituation in Stentor coeruleus through behavioral experiments, RNA transfer studies, and microscopy.

→   learn more

How can computation make biology more programmable and discoverable?

scheminger | computational research fellow

Built computational workflows for molecular docking, protein analysis, and biological simulation.

→   learn more

update log

05.26   CRIS Bio-It Hackathon first place
04.26   accepted to present at SCIPY 2026
03.26   accepted to neurotam fellowship
03.26   project proposal accepted to bio-it world