Bio

I am currently an Assistant Professor at the CS Department of the University of Wisconsin-Madison. Before this, I was a postdoc researcher in the Computer Science department at Stanford University, working with Chris Ré. I completed my Ph.D. from Cornell University in 2017, where I was advised by John E. Hopcroft (Turing laureate). I've spent time at Google AI twice as an intern, and Facebook AI as a Research Scientist. I was named Forbes 30 Under 30 in Science in 2020. My broad research interests are in deep learning and machine learning. My time in both academia and industry has shaped my view and approach in research. The goal of my research is to enable transformative algorithms and practices towards reliable open-world machine learning, which can function safely and adaptively in the presence of evolving and unpredictable data stream. Our works explore, understand, and mitigate the many challenges where failure modes can occur in deploying machine learning models in the open world. Due to large number of messages, I have opted out checking and responding them individually. For inquiries, please reach out to my work email address directly.