Bio

I am currently a third-year PhD student in the Graduate Program in Bioengineering at University of California, Berkeley and University of California, San Francisco. My main research interests involve designing novel analysis and computational tools to study the brain and improving deep brain stimulation (DBS) for clinical applications. I am currently a member of the Starr Lab and the Little Lab at UCSF.

Prior to UC Berkeley and UCSF, I received my BA degree in Biology, Mathematics, and Neuroscience at Wesleyan University and my BS degree in Electrical Engineering at Columbia University in 2020 through the Combined Plan Joint BA/BS 3-2 Program. I subsequently obtained my MS degree in EE also at Columbia in 2021 through the Integrated BS/MS Program. At Columbia, I worked with Paul Sajda on developing analysis tools for electroencephalography (EEG) and optical coherence tomography angiography (OCTA) data. I also worked with Jason Carmel at Columbia University Irving Medical Center on analyzing electrocorticography (ECoG) data recorded in rats and developing closed-loop system for spinal cord stimulation.

Outside of research, I watch a lot of anime/manga and write online novels during my free time. I also used to jog in central park and riverside park when I was in NYC and am now trying to explore the jogging tracks in SF.