About Me

I am currently a Ph.D. candidate in Computer Science at UIUC, advised by Dr. Ismini Lourentzou. I began my doctoral studies at Virginia Tech, where I had also worked under Dr. Kurt Luther. Prior to my Ph.D., I earned an M.S. in Computer Science from Georgetown University and a B.A. in Computer Science (Linguistics concentration) from University of Minnesota, Twin Cities.

My research centers on reasoning in 3D and embodied settings, grounded in a broader foundation of natural language processing and multimodal learning. I study how structured representations - linguistic, spatial, and geometric — can be integrated to enable machines to reason about the world in a grounded, interpretable, and generative way.

My recent work explores:

• Collaborative Reasoning Frameworks that unify language and 3D generation
• Part-level 3D Generation and Articulation for modeling structured objects
• Uncertainty-aware Embodied Agents that adapt reasoning and planning in dynamic environments

Across these directions, I aim to build language-enabled systems that do not merely predict tokens or pixels, but instead reason over structure, parts, space, and action. My work draws inspiration from theoretical linguistics, 3D representation learning, and multimodal world modeling to develop agents that can understand, construct, and interact with complex 3D worlds.

Beyond my academic work, I co-founded Eternl.AI, where I architect AI infrastructure for embodied intelligence in interactive gaming. My work spans agentic AI (LLMs + RL for goal-directed decision-making), long-horizon personalization (RAG + PEFT for consistent interactions), and 3D-world generation (object/character generation and scene synthesis for coherent, interactive environments), translating embodied reasoning and structured generation research into production-scale systems. We raised $400K at a $40M valuation.

Publications