👋 Hey, I'm
PhD student at UC Santa Cruz building neural interfaces, computer vision pipelines, and spiking neural networks. I make research tools and break things in the best way possible.
I'm a PhD student in Electrical and Computer Engineering at UC Santa Cruz, working in the Braingeneers Group at the Genomics Institute. My research sits at the intersection of computer vision, deep learning, and neuroscience — building tools that help us understand how living brain tissue works.
From designing microfluidic devices and flying drones over Icelandic volcanoes to training spiking neural networks, I love work that spans hardware and software. If it involves building something from scratch, I'm probably interested.
A selection of projects I've built. Check out the full list on the projects page.
ANN-to-SNN distillation framework for spike-count forecasting. Distilled a 270K-param LSTM into a 22K-param SNN — 92% parameter reduction with matching accuracy on real Neuropixels data.
Modular automated epifluorescence microscope for continuous in-incubator live cell imaging. Built the imaging automation, stabilization, and alignment software. Under review at Nature Comms Engineering.
Dual-color fluorescence microscopy tracker that replaces days of manual annotation with minutes of batch processing. Captures 25–40% more objects than single-stage methods.
Interactive experiments, mini-games, and toys. Because coding should be fun.
Interested in collaborating, or just want to talk about brains and robots?