My research interests fall within the umbrella of artificial intelligence with a focus on multimodal machine learning, efficient neural networks, explainable and fair AI, and robust ML.
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As of June 2026 I have joined Amazon as a Senior Applied Scientist. Previously, I was an Assistant Professor in the Department of Computer Science at Boston University and a core faculty member of the Artificial Intelligence Research (AIR) initiative at the Rafik B. Hariri Institute for Computing and Computational Science & Engineering. I obtained my PhD in the computer vision group at the University of Illinois at Urbana-Champaign advised by Svetlana Lazebnik. After that I worked as a Postdoctoral Associate with Kate Saenko and Stan Sclaroff and later as a Research Assistant Professor. During my PhD I was fortunate to be named a 3M Foundation Fellow, NSF GRFP honorable mention, and was able to spend my summers working with Hadi Kiapour (eBay), Shuai Zheng (eBay), Robinson Piramuthu (eBay), Matthew Brown (Google), Himanshu Arora (A9), and Stephen Kelley (MIT Lincoln Labs).
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Recent News
- My student Arijit Ray has defended their PhD thesis! Congratulations Dr. Ray!
- My student's paper that proposes a benchmark to diagnose a MLLM's ability to understand orientation was accepted at ECCV 2026
- I have joined Amazon as a Senior Applied Scientist
- My student Chau Pham has defended their PhD thesis! Congratulations Dr. Pham!
- My student Diala Lteif has defended their PhD thesis! Congratulations Dr. Lteif!
- I will be serving as an Area Chair for NeurIPS'26
- My student's and collobrators have 3 papers accepted at CVPR 2026 (2 main conference, 1 findings): a paper that proposes a unified framework for model compression and parameter efficient finetuning, a paper introducing a developmentally grounded benchmark, and a paper proposing an approach for modality-agnostic CoT reasoning
- I will be serving as a Lead Area Chair for ECCV'26
- I am leading a team organizing the Findings track at CVPR'26. See our FAQ for more information.
- My recently graduated student's paper introducing a training method that is robust to label noise and domain shifts and a paper introducing a large cell microscopy dataset was accepted at ICLR 2026
- I will be serving as an Area Chair for ICML'26 and an Action Editor for ACL ARR
- My student's paper proposing a self-supervised method for multi-channel imaging was accepted at NeurIPS 2025
- My student's have 3 papers accepted at EMNLP 2025 (2 main conference, 1 findings): a paper introducing the first token pruning approach for embodied navigation, a paper that learns to mix domains experts for temporal domain generalization, and a paper advocating for separating likely benign uses of LLMs (like polishing or machine translated text) from more potentially problematic uses in generated text detection
- My student has a paper proposing a self-supervised approach for MRIs with missing modalities accepted in Human Brain Mapping
- I will be serving as a Lead Area Chair for CVPR'26
- I will be serving as an Area Chair for ICLR'26, and WACV'26 and a SPC for AAAI'26
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