I'm a first-year CS PhD Student at Stanford, affiliated with the Stanford AI Lab and Statistical ML Group. Right now, I'm rotating with Prof. Chris Re and learning more about Inverse Reinforcement Learning. In my first quarter at Stanford, I rotated with Prof. Emma Brunskill and Prof. Fei-Fei Li, both of whom I continue to collaborate with.
As humans, our ability to translate intent into behavior by leveraging our knowledge is amazing -- my goal is to build autonomous agents that can do the same! Can we design agents that help us achieve our goals, by learning through interaction with the world and representing and utilizing their prior knowledge? I'm especially interested in building agents that can learn by observing human behavior, and advancing the theory and practice for these problems. I think about these questions mainly through the lens of Reinforcement Learning, but I also draw from other areas of Statistical Machine Learning. Another area I'm passionate about is applying AI to solve real problems, by creating systems to improve AI-assisted education and healthcare.
Previously, I graduated with a Master's degree from the Department of Machine Learning at Carnegie Mellon University in 2018, where I was a recepient of the Siebel Foundation's 2017-18 Scholarship. Concurrently, I spent time at Stanford (2017-2018) as a visiting Research Assistant in the AI Lab with Prof. Emma Brunskill. I did my undergrad at the Indian Institute of Technology - Delhi (IITD) where I spent 5 amazing years majoring in EECS. At IITD, I got into AI research while working with Prof. Mausam. I also greatly enjoyed collaborating with Prof. Aditya Parameswaran and Prof. Hari Sundaram during an internship at the University of Illinois at Urbana-Champaign.
If you'd like to collaborate on research, chat with me about AI or network with me then feel free to drop me a line! I'm also happy to give free advice if that's something you're interested in!