Assistant Professor of Computer Science
Deepti is an Assistant Professor in the Dept. of Computer Science in Boston University. Her research interests are in Computer Vision and Machine Learning, with a special focus improving the safety, interpretability, and robustness of computer vision systems. She is also a Member of Technical Staff at Runway. Previously she spent over 5 years at Meta AI Research working on image and video understanding models. She obtained her PhD at the University of Texas at Austin in 2017 where she worked with Prof. Alan Bovik on perceptual image and video quality assessment for real-world content. She has served as a program chair for NeurIPS 2022 Dataset and Benchmarks track, hosted several tutorials and organized workshops and an area chair for CVPR, ICCV, ECCV, and NeurIPS.