CV
Education
- GPA: 5.0/5.0
B.S. in Physics / Artificial Intelligence & Decision Making
Massachusetts Institute of Technology
- FortyFive AI Lab (Dr. Ge Yang): RL, humanoid whole-body control, embodied AI
- Prof. Tommi Jaakkola's group: diffusion models and molecular dynamics
- GPA: 3.95/4.00
Undergraduate in Computer Science
Tsinghua University, IIIS (Yao Class)
Advisor: Prof. Huazhe Xu
- Transferred to MIT after freshman year
- Research on learning-based robot manipulation, sim-to-real transfer
Experience
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Software Engineering Intern
Hudson River Trading
- Two rotations: Software Engineering (5 weeks) and Algorithmic Trading (5 weeks).
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Undergraduate Researcher: Diffusion Models & Molecular Dynamics
MIT , supervised by Prof. Tommi Jaakkola
- Researching the intersection of diffusion models and molecular dynamics.
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Undergraduate Researcher: Reinforcement Learning & Embodied AI
FortyFive AI Lab, MIT , supervised by Dr. Ge Yang
- Developed RL and imitation learning pipelines for humanoid whole-body control; investigated scaling laws for policy performance and generalization.
- Contributed to productionization of Vuer (3D visualization) and ML-Dash (experiment tracking & data storage).
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Undergraduate Researcher: Learning-based Control
Tsinghua University , supervised by Prof. Huazhe Xu
- Investigated RIR (RL to Imitation to Real-world) framework for robot manipulation on Franka arm, leveraging PPO and DrQ-v2.
- Designed multi-stage approach for specialist training and multitask generalization via imitation learning and sim-to-real transfer.
Awards & Honors
2024
Gold Medal, 1st Place in Theory
54th International Physics Olympiad (IPhO)
Highest score in the theoretical exam among all participants worldwide.
2025
2nd Place (Modal Prize)
HackMIT 2025
2023
Gold Medal (3rd Place)
9th Romanian Master of Physics (RMPh)
2025
1st Place, Winter Contest Beginner's Round
MIT Informatics Tournament (MITIT) 2025
2024
Xuetangban Scholarship & Freshman Scholarship
Tsinghua University
Skills
Programming
Tools
Languages
Selected Coursework
ML/AI
- 6.7970/8.750 Symmetry & Applications to ML MIT
- 6.8300 Advances in Computer Vision MIT
- 6.4210 Robotic Manipulation MIT
- 6.4610 Natural Language Processing MIT
- 6.4300 Computer Vision MIT
- Deep Learning Tsinghua
- 6.3800 Intro to Inference MIT
- 6.3900 Intro to Machine Learning MIT
Math/Physics
- 18.435 Quantum Computation MIT
- 8.05 Quantum Physics II MIT
- 8.13 Experimental Physics I MIT
- 6.1220 Design & Analysis of Algorithms MIT
- Mathematics for CS and AI Tsinghua