Deepti is an Assistant Professor in the Department of Computer Science at Boston University and a Member of Technical Staff at Runway. Her research focuses on improving the safety, interpretability, and robustness of computer vision systems, particularly in Computer Vision and Machine Learning. Previously, she spent over 5 years at Meta AI Research, working on image and video understanding, fair AI models, and ML explainability. She earned her PhD from the University of Texas at Austin in 2017, studying perceptual image and video quality with Prof. Alan Bovik. Deepti has served as a program chair for NeurIPS 2022 and AIMLsystems'23, and has been an area chair for major conferences like CVPR, WACV, WiML, and AAAI.