Sheng Hongrui

Hongrui "Sam" Sheng

Hi! I am a senior majoring in Chemistry at Fudan University. My research interests lie at the intersection of Artificial Intelligence and Chemistry, with a strong focus on utilizing data-driven approaches to accelerate materials discovery.

My research began with AI-assisted electrocatalyst design (advised by Prof. Ming Gong), and I later moved on to using active learning to optimize the crystallinity of MOFs (advised by Prof. Zhiling (Zach) Zheng). Along the way, I have grown increasingly interested in the de novo design of reticular materials, especially with generative models.

Recent whims:

  1. Can Joint-Embedding Predictive Architectures (JEPA; LeCun, 2022) be brought into chemistry?
  2. Can we develop a unified representation for both 2D and 3D COFs, as a stepping stone toward future generative models?

Research Interests

  • AI for Chemistry: Applying machine learning methods, especially generative models, to chemical systems.
  • Autonomous Labs (Smart Labs): Accelerating Scientific Iteration Beyond AI-Driven Modeling

Education & Leadership

  • Fudan University | B.S. in Chemistry (Expected 2027)
  • “AI + Wangdao” Program | Research Program Leader
  • Fudan Integrative Medicine Association | Founding President

Research Experience

Technical Skills

  • Programming: Python, C++
  • Computational Tools: ASE, MACE, Gaussian, Psi4
  • Academic Writing: $\text{La}\text{Te}\text{X}$, Markdown

Languages

  • Mandarin Chinese: Native
  • English: Proficient (TOEFL: 107)
  • Japanese: Advanced (JLPT N1)

For more details, please see my CV.

I am always happy to have a coffee chat about PhD applications, AI for Chemistry, or AI4Chem in industry and academia. Feel free to reach out!

Curious about life outside the lab? Check out Beyond the Lab 🌵🦈


Looking to connect? Feel free to reach out via Email or connect with me on LinkedIn. More ways to reach me are on my Contact page!