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Hi! I am a Computer Science Ph.D. Candidate at Stony Brook University, advised by Prof. Arie Kaufman in the Center for Visual Computing.
My research focuses on Extended Reality (XR), Human-Computer Interaction (HCI), and Immersive Analytics. I design and evaluate large-scale visualization systems, developing AI and LLM-assisted analytics frameworks, interactive visualization tools, and user-centered XR interfaces. My goal is to make immersive environments more adaptive, explainable, and data-driven.
My research has been published at venues such as IEEE VR, IEEE VIS and IEEE TVCG. Please refer to my Research page.
I am currently a Multimodal Generative AI Research Intern at GE Vernova, and previously interned as a Machine Learning Engineer on Core Ads Ranking at Reddit. See my Experience page.
Feel free to reach out to me on my professional email or my personal email.
Joined GE Vernova as a Multimodal Generative AI Research Intern
Building multimodal generative models for wind turbine VR simulation and agentic workflows for power grid analysis.
Joined Reddit as a Machine Learning Engineering Intern
Worked on Core Ads Ranking, improving the purchase-conversion model's PRAUC and calibration.
Poster accepted at IEEE VIS 2025
Developed an AI agent that analyzes the VIS publications dataset and generates visualizations.
Explainable XR presented at IEEE VR 2025 — published in IEEE TVCG
Introduces an LLM-assisted framework for interpreting user behaviors in immersive XR environments.
Patent submitted!
Filed on adaptive immersive visualization facility patent.