About Me

Since 2021, I have been an Assistant Professor in the Electrical and Computer Engineering (ECE) department at Rice University, and a member of ECE's Digital Health Initiative. I work in computer vision and medical imaging, with a focus on 2D/3D inverse imaging, efficient neural signal representations, and robustness/fairness of large vision models.

I received my B.S. degrees in Computer Science Engineering and Computer Engineering from the University of Michigan, Ann Arbor in 2011. I completed my Ph.D. in 2018 in MIT's CSAIL department, under the supervision of John Guttag and Frédo Durand. I was then 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.

Recent News

• We have just release ALPINE, a PyTorch library for fast prototyping, development, and evaluation of implicit neural representations (INRs). Check out the repo, use it for your INR needs, and let us know what you think. 

• Stop by at our EMACS (Experimental Model Auditing via Controlled Synthesis) workshop at CVPR 2025!