I am a postdoc at UC Berkeley, working with Nika Haghtalab and Michael Jordan. My research draws on ideas from machine learning, algorithmic game theory, and causal inference to design algorithms for decision-making in complex and uncertain environments. I am particularly interested in bridging the gap between classical game theory and modern machine learning to develop intelligent systems capable of strategic reasoning in multi-agent settings.

I received my PhD in Machine Learning from Carnegie Mellon University, where I was advised by Nina Balcan and Steven Wu. During the PhD, I was supported by the NDSEG Fellowship and was the editor-in-chief of the ML@CMU blog. I also spent two summers at Microsoft Research, working with Alex Slivkins. Before coming to CMU, I studied computer science and physics at Penn State. In the startup world, I have spent time at Lux Capital, US Innovative Technology, and Vitable Health.

Some other pages I find interesting:

• The Berkeley AI Research blog
• The Matrix Cookbook
• The No Hands Across America homepage
• The SIGBOVIK homepage