Description: I am a Research Associate at Harvard University interested in AI for decision-making. My main expertise is in reinforcement learning (RL) which I complement with deep learning, statistical modeling...
I am a Ph.D. candidate at UT Austin, working in statistics and machine learning (ML) for scientific applications supervised by Professors James Scott and Cory Zigler . I collaborate with researchers from diverse scientific domains, such as cancer, air pollution, robotics, epidemiology, and transportation. I approach problems using a combined Statistics+ML mindset (to exploit structure-rich data while understanding the data-generating process and sources of confounding). Within Statistics, I specialize in la
At the beginning of the Covid-19 pandemic, I joined the UT Covid-19 Modeling Consortium, where I helped building forecasting models to advise the CDC. Recently, I became part of the Learning Agents Research Group (LARG) and the Robocup UT Austin Villa Team team led by Prof. Peter Stone. Working with robots is a lot of fun, and it has shaped my understanding and ability to tackle problems in other applied scientific domains using cutting-edge AI tools. Previously, I did internships at Intel AI and Facebook A
Outside research, I play tennis and paddleboard on Lady Bird Lake with my wife, Michelle. I also like learning languages. I am currently studying Japanese.