Assistant Professor, School of Electrical and Computer Engineering
Georgia Tech School of Electrical and Computer Engineering
I am an Assistant Professor of Electrical and Computer Engineering (ECE) at Georgia Tech. I am also a Program Faculty of ML PhD Program and an affiliated faculty at the Institute for Data Science and Engineering (IDEAS). Previously, I was a postdoctoral associate in the EECS department at UC Berkeley with Kannan Ramchandran and Jennifer Listgarten and before that I was at the EE department at Stanford with David Tse.
The goal of my research is to find innovative statistical and computational solutions to problems in the sciences by developing probabilistic modeling, learning, and inference methods that work efficiently at large scale. I build foundational algorithms motivated by real-world applications, focusing on emerging areas that bridge machine learning, optimization, and high-dimensional statistics with biology, chemistry, and physics. Current focus are:
- ML/AI for science: Protein/small molecule design and engineering, Molecular sensing and diagnostics
- Core ML/AI: Interpretability, robustness, and generalizaiton in deep learning
- Scalable ML/AI: Exploiting sparsity to accelerate inference