M.S. in Computer Science @ Northwestern University
B.S. in Computer Science & Data Science @ University of Wisconsin-Madison
General Robotics Lab @ Duke University
Scaling embodied AI to solve complex societal challenges through efficient learning.
I will be joining the General Robotics Lab at Duke University as a Ph.D. student in Robotics (MEMS), advised by Dr. Boyuan Chen, starting Fall 2026. I completed my Master's in Computer Science at Northwestern University, advised by Dr. Manling Li and Dr. Zhaoran Wang. Before that, I completed dual B.S. degrees in Computer Science and Data Science at the University of Wisconsin-Madison with distinction.
I am interested in foundation models for embodied agents and optimization for decision-making. The long-term goal of my research is to develop a new generation of data-driven methods, theory, and systems that tailor artificial intelligence toward addressing societal challenges through (1) efficient autonomous learning and (2) effective coordination in multi-agent systems involving humans and robots.
Enabling efficient autonomous learning and effective multi-agent coordination for complex societal challenges
Developing large-scale models that enable robots to understand and interact with the physical world through natural language and visual perception.
Investigating how AI systems can develop robust spatial understanding for navigation, manipulation, and interaction in complex 3D environments.
Designing efficient optimization algorithms for decision-making in multi-agent systems, enabling autonomous agents and humans to cooperate effectively at societal scale.
Research contributions to embodied AI and intelligent decision-making
Contributing to the research community through leadership and organization
Leading the organization of the FMEA workshop at NeurIPS 2025, which focuses on enhancing Large Language Models (LLMs) for embodied reasoning through a standardized evaluation protocol. The workshop includes the BEHAVIOR Challenge and EAI Challenge, evaluating critical embodied reasoning capabilities including goal interpretation, subgoal decomposition, action sequencing, and transition modeling.
Academic background and achievements
Duke University
Durham, NC
Northwestern University
Evanston, IL
University of Wisconsin-Madison
Madison, WI
Recognition for academic excellence and achievements
2023
Awarded for outstanding academic achievement in Computer Science
2023
Top academic honors for undergraduate degree
2022
V: 164 (94th pct.)
Q: 169 (93rd pct.)
2020
Undergraduate Scholarship for Summer Study at UW-Madison
2020-2023
5 consecutive semesters of academic excellence
2018
R: 29, L: 27, S: 25, W: 28
Recent highlights and announcements
I am thrilled to announce that I have been accepted to the Robotics (MEMS) Ph.D. program at Duke University. I will be joining the General Robotics Lab under the supervision of Dr. Boyuan Chen, starting Aug. 2026.
Submitted my first-authored paper on Embodied Question Answering to Transactions on Machine Learning Research (TMLR).
Our challenge on "LLMs for Embodied Agents" has been accepted to the NeurIPS 2025 Competition Track.
Started my Master's degree at Northwestern University under the guidance of Dr. Manling Li and Dr. Zhaoran Wang.
Feel free to reach out for collaborations or discussions