Hello! As of July 2021 I am an Assistant Professor in the Electrical and Computer Engineering Department at Rice University. In this site you'll find info about my research and teaching activities.
I am particularly interested in the theory, design and applications of generative learning models for visual data. A current focus of mine is using synthetic data generated by such models to measure and mitigate biases of computer vision systems. This work lies at the intersection of computer vision, machine learning, and computer graphics. I also work on a broad range of problems at the intersection of vision and healthcare, such as medical imaging applications and remote vitals signs measurement from video.
I grew up in the rather typical suburban towns of East and South Brunswick, New Jersey. In 2011, I received my B.S. degrees in Computer Science Engineering and Computer Engineering from the University of Michigan, Ann Arbor. I then went back east to MIT, where I completed my M.S. in 2013 and Ph.D. in 2018 in CSAIL, under the supervision of John Guttag and Frédo Durand. After the PhD, I was a postdoctoral researcher in Bill Freeman’s group at MIT from 2018-2020 and a scientist in AWS from 2020-2021 working on fairness and accountability of AI systems.