About

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.

Experience

Senior Researcher, AI Research

Samsung Research America · Mountain View, CA

Jan 2025 — Present

Working on Efficient Vision-Language Systems.

Machine Learning Research Intern

Adobe Research · College Park, MD

2019 & 2020

Developed novel explainability methods for object detection (D-RISE) and image similarity models. Received the Adobe Research Fellowship in 2020.

Research & Teaching Assistant

Boston University · Boston, MA

2017 — 2024

Conducted research in Explainable AI and computer vision under Prof. Kate Saenko. Published at top-tier venues including CVPR, ECCV, and NeurIPS workshops.

Education

Ph.D. in Computer Science

Boston University · Boston, MA

2017 — 2024

Advised by Prof. Kate Saenko. Research in Explainable AI, concept manipulation in diffusion models, and feature attribution methods for computer vision.

M.S. / B.S. in Computer Science & Applied Mathematics

Belarusian State University · Minsk, Belarus

2012 — 2017

Master's Program in Computer Science

Yandex School of Data Analysis · Minsk, Belarus

2014 — 2016

Publications Google Scholar ↗

Side Projects

Fun things I've built outside of research.

💡

Project Name

Short description of the project, what it does, and why it's interesting.

Python PyTorch
🚀

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Short description of the project, what it does, and why it's interesting.

JavaScript React
🎨

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Short description of the project, what it does, and why it's interesting.

Python Diffusion