Cheng Zeng
Postdoctoral associate at University of Florida.
Phone: +1 401-396-6668
Email: c.zeng@ufl.edu
Hi! I’m currently a postdoctoral researcher at the University of Florida. Before joining UF, I was a postdoctoral fellow at the Institute of Experiential AI and Roux Institute of Northeastern University. I received my Ph.D. in Chemical Engineering and an M.S. in Data Science in 2022 from Brown University.
My research lies at the intersection of AI, Materials Science and Chemistry. I develop and deploy generative models, machine learning interatomic potentials, and phenomenological models to accelerate materials and molecular design for a sustainable future.
I’m currently on the job market—welcome to connect via LinkedIn!
Recent news [archive]
| 2026/03 | MolCrystalFlow data is available at zenodo. Code is available at Github. |
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| 2026/02 | Excited to introduce MolCrystalFlow, now available at arXiv. We leverage a hierarchical representation combined with an equivariant Riemannian flow matching to generate crystal packing for given rigid-body molecular conformers. We benchmark MolCrystalFlow using two open-source datasets and against state-of-the-art generative model for large-size periodic crystals and rule-based Genarris-3 generation method. Code and data to follow soon… |
| 2026/01 | Our PropMolFlow work is finally online at Nature Computational Science. News release is here. |
