I'm currently a PhD candidate at Stanford studying Electrical Engineering with Prof. Priyanka Raina. I graduated from Princeton with high honors in Electrical Engineering and certificates in Applications of Computing and Engineering Physics. I completed my Stanford M.S. degree in EE; my current PhD research focuses on emerging memory/circuit technologies (resistive RAM/NEM relays) and efficient reconfigurable computing (FPGAs/CGRAs). I consider myself an eclectic learner who has never been satisfied to work in just a single area. In the past, I've done research projects across an extremely wide array of subjects, including oxide nanoelectronics (Prof. Patrick Irvin, Pitt), stochastic simulation of biochemical processes (Prof. Marcus Dittrich, PSC), deep learning applied to petroleum well data (Prof. Verena Kaynig-Fittkau, Harvard/QRI), and development of quantum cascade devices in group-IV materials (Prof. Claire Gmachl, Princeton). My senior thesis at Princeton with Prof. Prateek Mittal was focused on privacy threats posed by Content Delivery Networks. I've also worked as a software intern at two companies, GoFundMe and Amazon; there, I took on data science and analytics problems affecting business. Recently, I completed an (entirely virtual!) internship at NVIDIA focused on improving circuit design with AI. Additionally, I have several personal projects I'm proud of: an analytics engine for online Set! to understand how people learn the card game, enabling Amazon Alexa home assistants to rap battle each other, studying graph techniques for understanding musical collaborations... and so on. I love meeting/hearing ideas from new people, so feel free to contact me. Cheers!