Cleo: Closed-Loop, Electrophysiology, and Optophysiology experiment simulation testbed
A Python package built around Brian 2 designed as a testbed for bridging computational models and experiments for mesoscale neuroscience. Specifically, it allows for convenient simulation of closed-loop real-time stimulation, electrode recording, 2P imaging, and optogenetics with spiking network models and provides a modular interface to facilitate future additions.
Biomedical Engineering
I’m a PhD student advised by Chris Rozell at Georgia Tech, developing advanced closed-loop optogenetic control techniques for neuroscience. Specifically, I am applying optimal, model-based control to precisely perturb population dynamics.
I’m fascinated by the biological computational principles and how we can exploit them for next-generation AI/ML technologies. And vice-versa: how we can apply modern ML to neurotech/neuroscience, especially for building life- and time-saving brain-computer interfaces. I am looking for an industry research scientist role post-graduation.