Originally trained as an experimental physicist in undergrad, I slowly gravitated to biology – and eventually neuroscience – through my work studying the biomedical applications of organic and nanomaterials. A brief stint studying gamma oscillations in a neurophysics lab out at UCLA cemented this transition, and my interest in computational neuroscience was born.
One grad school application cycle later, I ended up at Princeton University. With a strong desire to work on mathematical and computational methods while staying “close to the experiments” (as I like to say), I quickly found my home working both in Jonathan Pillow’s Neural Coding and Computation Group and in Ilana Witten’s lab studying the Neural Circuitry of Reward Learning and Decision-Making.
This section of my website is a constant work-in-progress. Please be patient while I learn all the things and do all the science.