About Me

I am a PhD student in Computer Science at Auburn University, advised by Dr. Jiaqi Wang.

Prior to joining Auburn, I completed a Master’s degree in Computer Science at Johns Hopkins University, where I worked as a Graduate Research Assistant in the ARCADE Lab under the supervision of Prof. Mathias Unberath. My research at Johns Hopkins focused on multimodal visual reasoning, developing frameworks that integrate large language models (LLMs) and foundation vision models for tasks such as image and video segmentation, summarization, editing, and reasoning.

Before joining Johns Hopkins, I completed my Bachelor of Science in Computer Science, Statistics, and Mathematics at Rutgers University–New Brunswick and pursued graduate coursework in Computing and Data Science at Boston University. I have also conducted research in natural language processing, generative models, and multimodal AI, collaborating with Prof. Michael LuValle and Prof. Ahmed Elgammal.

My recent work has been published at ICCV(oral), MICCAI, and MedAGI(oral) and includes building benchmarks and agent-based frameworks for reasoning visual tasks.

Research Keywords: Artificial Intelligence, Machine Learning, Computer Vision, Visual Reasoning, Digital Twins, Multimodality, Generative Models, Natural Language Processing, LLM Math Reasoning

News

Jul 23, 2025 🎤 ICCV 2025 Oral Presentation confirmed for Online Reasoning Video Segmentation with Just-In-Time Digital Twins.
Jul 22, 2025 🎉 MedAGI 2025 (Oral) acceptance for Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction.
Jun 25, 2025 🎉 ICCV 2025 acceptance for Online Reasoning Video Segmentation with Just-In-Time Digital Twins.
Jun 17, 2025 🎉 MICCAI 2025 acceptance for Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins.
Sep 16, 2024 🚀 Joined the ARCADE Lab at Johns Hopkins University, supervised by Prof. Mathias Unberath and mentored by Yiqing Shen.