K. Swain, S. Han, A. Torralba. VirtualEnv: A Platform for Embodied AI Research. AAAI 2026.
Student Researcher
Skyler (Sijie) Han
Embodied AI • Computer Vision • Robotics
I am a third-year undergraduate student at the University of Toronto, pursuing a Bachelor of Applied Science in Engineering Science with a major in Robotics and a minor in Artificial Intelligence. I am also fortunate to be a research intern at CSAIL, MIT working with Prof. Antonio Torralba. My research interests lie at the intersection of embodied AI, computer vision, and robotics, with a particular focus on dataset generation for robust embodied agents.
Publications
Selected papers. Full list on Google Scholar.
K. Darvish, A. Sohal, A. Mandal, H. Fakhruldeen, N. Radulov, Z. Zhou, J. Choi, S. Han, B. Zhang, J. Chae, S. Veeramani, A. Wright, Y. Wang, H. Darvish, Y. Zhao, G. Tom, H. Hao, M. Bogdanovic, G. Pizzuto, A. Cooper, A. Aspuru Guzik, F. Shkurti, A. Garg. MATTERIX: Towards a Digital Twin for Robotics-Assisted Chemistry Lab Automation. Nature Computational Science, 2025.
S. Okuboyejo, S. Han, S. Jha, C. Eneja, R. Orji. Insights from User Reviews to Improve Suicide Prevention Apps: A Machine Learning and Thematic Analysis-Based Approach. International Journal of Human–Computer Interaction, 2025.
Experience
Selected roles.
Embodied AI Research Intern — CSAIL, MIT
- Co-developed VirtualEnv, a UE5 simulation platform with procedural scene generation and benchmarking.
AI/ML Intern — Autodesk
- Built robust ML tooling and trained animation models for Autodesk Maya.
Robotics Research Intern — People, AI, & Robots Research Group (University of Toronto)
- Built chemistry-focused digital twins in Isaac Sim for safe training and validation.
Team Member — Tracking Division — aUToronto (Autodrive)
- Benchmarked tracker performance with multimodal ground truth; improved object persistence by 23%.