Caiyi(Celia) Zhang

Caiyi (Celia) Zhang

Hey! I’m Celia, a CS undergraduate student at Purdue.

Previously, I was a visiting researcher at UW and BAIR at UC Berkeley, advised by Prof. Siddhartha Srinivasa and Prof. Jitendra Malik, respectively. I also worked closely with Prof. Yilun Du, Prof. Yu She, and Prof. Ahmed H. Qureshi.

I always enjoy discussing and exchanging ideas across different areas of robotics, and I welcome conversations with anyone interested in the field, whether from academia, industry, startups, or investment.

Email / Google Scholar / LinkedIn / Github

Research

My research focuses on foundation models for robotics. I am particularly interested in how large-scale training can endow robots with strong generalization and the ability to handle complex tasks. More concretely, my interests include leveraging pretrained models to help robots better understand the physical world, improving the data efficiency of imitation learning under limited demonstrations, and enabling closed-loop control through environment interaction.

Large Video Planner Enables Generalizable Robot Control

Boyuan Chen*, Tianyuan Zhang*, Haoran Geng*, Caiyi Zhang*, Peihao Li*, Kiwhan Song, William T. Freeman, Jitendra Malik, Pieter Abbeel, Russ Tedrake, Vincent Sitzmann, Yilun Du
CoRL 2026
Website / ArXiv / HuggingFace

First open video model at a foundation-model scale for generative robotics planning.

Experience

	LiberAI (Website) Research Intern, Jan. 2026 ~ Apr. 2026 Worked on building robotics foundation model for bi-manual dexterous manipulation. Mentor: Fanqi Lin
	ZhenFund \| 真格基金 Investment Intern, Dec. 2025 ~ Apr. 2026 Covered early-stage investments in AI and Robotics. Joined portfolio company LiberAI as a research intern concurrently. Advisor: Emma Yin and Jiaqi Zhang
	Berkeley Artificial Intelligence Research (BAIR) Lab Visiting Researcher, Apr. 2025 ~ Nov. 2025 Advisor: Prof. Jitendra Malik
	CoRAL Lab, Purdue CS Research Assistant, Dec. 2024 ~ Mar. 2025 Advisor: Prof. Ahmed H. Qureshi

Selected Projects

RoboVerse

A unified simulation and benchmarking framework for robot learning, enabling scalable data generation, cross-simulator interoperability, and consistent evaluation to advance imitation learning, reinforcement learning, and sim-to-real transfer.

Awards

Jandos Scholarship (Merit & Leadership), Purdue College of Science, 2025
Dean's List, all semesters at Purdue
National First Prize, Chinese Mathematics Competition for College Students (CMC), 2022

Misc

Outside of research, I enjoy piano🎹, singing🎤 and reading📖, especially poetry.
I have been writing Chinese lyrics since middle school, evolving from early independent creations to contributing to soundtracks (OSTs) for radio dramas and TV series, with over 100M✨ total plays across platforms.
I have also been thinking about building a portfolio website for my lyrics, and would be happy to hear any thoughts or ideas :)