ECCV 2024 Best Paper Honorable Mention
I am a Senior Researcher on the Vision Intelligence Team at Samsung Research America, where I work on Multi-Modal Language Models, Agentic Memory and Reasoning, and Efficient Multi-Modal Systems.
I received my Ph.D. in Computer Science from Boston University in 2024, advised by Prof. Kate Saenko. My doctoral research focused on Explainable AI — developing feature attribution methods for Computer Vision and investigating concept manipulation in Text-to-Image Diffusion Models. I also spent two summers as a Machine Learning Research Intern at Adobe Research.
Samsung Research America · Mountain View, CA
Working on Efficient Vision-Language Systems.
Adobe Research · College Park, MD
Developed novel explainability methods for object detection (D-RISE) and image similarity models. Received the Adobe Research Fellowship in 2020.
Boston University · Boston, MA
Conducted research in Explainable AI and computer vision under Prof. Kate Saenko. Published at top-tier venues including CVPR, ECCV, and NeurIPS workshops.
Boston University · Boston, MA
Advised by Prof. Kate Saenko. Research in Explainable AI, concept manipulation in diffusion models, and feature attribution methods for computer vision.
Belarusian State University · Minsk, Belarus
Yandex School of Data Analysis · Minsk, Belarus
ECCV 2024 Best Paper Honorable Mention
Fun things I've built outside of research.
Short description of the project, what it does, and why it's interesting.
Short description of the project, what it does, and why it's interesting.
Short description of the project, what it does, and why it's interesting.