I just graduated from Brown University where I studied machine learning and decision making. I'm currently taking a gap year before grad school, and I'm looking to fill it with more internships!
In school, I took a lot of graduate-level seminars focusing on ML, was a TA for deep learning, and conducted research with the self-driving car lab. Some of my academic projects include: an RL agent that learns skills in Minecraft using emotion detection as feedback, a GAN that can reconstruct images of faces with up to 80% of the pixels missing, and a state-of-the-art actor-critic network to play Atari games using RL. As a TA for the first iteration of Brown's graduate-level deep learning course, I designed a lab and gave a guest lecture on implementing sequence-to-sequence machine translation. For research, I've authored a paper on a biologically inspired RNN, and I've done work on imitation learning, multi-agent game theory, and deep RL with Michael Littman's self-driving car lab.
In industry, I've interned at Adobe and Lyft, in addition to several smaller companies. At Adobe I designed neural nets to forecast marketing data. At Lyft I designed a framework for solving sequential decision making problems with MDP's, including writing a special case solver for an MDP specific to autonomous vehicles at stop intersections. In addition, I worked at a robotics startup on both software and hardware, co-founded Food with Friends (on the app store and written in Swift), and just finished working at DeepScale doing perception for autonomous vehicles. Next I will be doing a predoc at Microsoft Research with Katja Hofmann on RL!
Currently, I'm interested in applying my skills toward research, autonomous vehicles, and healthcare, but I'm really open to any area where I can work on important, challenging problems with smart people. When a problem grabs me, I can't stop thinking about it until it's solved. Please see Portfolio or GitHub for a sample of my work and research!