About

Background

I hold a Ph.D. in Computational Neuroscience from The University of Chicago (2022), where I explored neural computation and mathematical modeling of brain function. My dissertation focused on modeling and characterizing population-scale neural activity, with applications to epilepsy. I developed novel characterization techniques including triple correlation for detecting seizures in newborn infants.

Before my doctoral work, I earned an S.B. in Mathematics from The University of Chicago (2015), graduating with General Honors and maintaining a Dean's List standing.

Current Work

• Private tutoring in programming, mathematics, and technical writing (750+ hours, 5.0/5.0 rating)
• Creative writing, particularly fantasy genre
• Personal projects in data analysis and computational modeling

Interests

Beyond my professional work, I enjoy singing (having performed with UChicago Glee Club and Chicago Chorale), running, climbing, reading and writing fantasy, playing guitar, tennis, and exploring the world of tea.