Curriculum Vitae

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Education

• B.S. in Massachusetts Institute of Technology (Cambridge, MA), Aug. 2024 – Present
  • Major: Physics (Course 8), Artificial Intelligence and Decision Making (Course 6-4)
  • Selected Coursework: Machine Learning, Introduction to Deep Learning, Fundamentals of Programming, Design and Analysis of Algorithms, Low-level Programming in C and Assembly, Computational Architecture, Linear Algebra and Optimization, Quantum Physics I, II \& III, Physics of Solids, Statistical Mechanics II, Quantum Field Theory I
• B.S. in Peking University (Beijing, China), Sep. 2023 – Jul. 2024
  • Major: Physics
  • Selected Coursework: Introduction to Computation, Data Structure and Algorithms, Classical Mechanics, Quantum Mechanics, Thermodynamics and Statistical Mechanics, Quantum Statistical Physics, Lie Groups and Lie Algebras
  • Transfer to MIT after one year of study

Achievements

• International Physics Olympiad (IPhO) Gold Medalist, Jul. 2023
  • Represented China at the 53rd International Physics Olympiad (one of 5 team members)
  • Ranked 1st place in the world and awarded a Gold Medal
• Chinese Physics Olympiad (CPhO) Gold Medalist, Dec. 2021 & Oct. 2022
  • Awarded the Gold Medal in the finals of the 39th Chinese Physics Olympiad and selected for the national team.
  • Awarded the Gold Medal in the finals of the 38th Chinese Physics Olympiad.

Working Experiences

• AI & Material Science Research Assistant @ MIT, Jan. 2025 — Present
  • Quantum Measurement Group, Massachusetts Institute of Technology
  • Extensively apply various machine learning force field (MLFF) models, especially MACE, to predict relevant physical properties of materials ( \(\Gamma\)-phonon, heat conductivity, etc.) while preserving accuracy
  • Trained a foundational model for non-destructive defect identification from vibrational spectra, specifically phonon density-of-states (PDoS)
  • Supervisor: Professor Mingda Li
• AI Workload Deployment Intern @ Intel, Jun. 2025 — Jul. 2025
  • Conducted in-depth research on low-level GPU memory layouts, including CuTe layout (NVIDIA CUTLASS) and linear layout (OpenAI Triton)
  • Explored NVIDIA’s recently released CuTeDSL framework in depth, analyzing its lowering process to the backend using operations in the CUTLASS library as a case study
  • Supervisor: Fangwen Fu, Xiaodong Qiu, Ivan Luo

Publications

2025

1. A Foundation Model for Non-Destructive Defect Identification from Vibrational Spectra
Mouyang Cheng^†,*, Chu-Liang Fu^†, Bowen Yu^†, Eunbi Rha, Abhijatmedhi Chotrattanapituk, Douglas L Abernathy, Yongqiang Cheng, and Mingda Li^*
†These authors contributed equally. ^*Corresponding author.

• In review, paper available at: arXiv:2506.00725

2. Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling
Mouyang Cheng^†,*, Weiliang Luo^†, Hao Tang^†, Bowen Yu, Yongqiang Cheng, Weiwei Xie, Ju Li, Heather J. Kulik, and Mingda Li^*
†These authors contributed equally. ^*Corresponding author.

• In review, paper available at: arXiv:2507.19799

Projects

• MIT Statistical Physics II (8.08) Course Project, Jan. 2025
  • Simulate the non-equilibrium relaxation and the phase transition of the 2D Ising model, using both discrete- and continuous-time simulation methods
  • Code available at: https://github.com/bowenyu066/ising-kmc

Skills

• Languages: English (fluent), Chinese (native), Cantonese (basic), Spanish (basic)
• Programming Languages: C/C++, Python, Bluespec, RISC-V Assembly, LaTeX
• Libraries: PyTorch, NumPy, Matplotlib, ASE, PyMatgen, Matformer, MACE, Triton, CUTLASS
• Technologies: Linux, Git, GitHub, Docker, SSH, VSCode, Jupyter Notebook

Hobbies

• Long-distance running: As of now, I have completed 1 half marathon, with the following personal bests:
  • Half marathon: 1:48:56 (2023 Wuhan Marathon)
• Table tennis
• Movies