CV
General Information
| Full Name | Chaoran Cheng |
| Date of Birth | April 5th, 1999 |
| chaoran7 [at] illinois.edu |
Education
- 2021.8 - Present
Ph.D. candidate in Computer Science
Computer Science, The Grainger College of Engineering, University of Illinois Urbana-Champaign
- Ph.D. candidate of Professor Ge Liu
- 2018.9 - 2021.7
B.S. in Computer Science
School of Electronics Engineering and Computer Science, Peking University
- Turing Class, with degree summa cum laude
- 2017.9 - 2018.8
Peking University
College of Chemistry and Molecular Engineering, Peking University
- transferred to new college
Work Experience
- 2024.5 - 2024.8
Amazon AWS AI
Applied Scientist Intern
- 2023.5 - 2024.1
Microsoft Research AI4Science
Research Intern
- Helped in developing the AI2BMD framework for protein molecular dynamics simulation with ab initio accuracy.
Teaching & Other Research Experience
- Teaching Assistant for UIUC CS444 Deep Learning for Computer Vision (Fall 2023)
- Workflow Chair for New Frontiers in Graph Learning Workshop (NeurIPS 2023)
Academic Interests
-
Generative Models in AI4Science
- Multi-Modal Generative Models. Combining both the continuous and discrete modalities of molecules and proteins to build a more comprehensive and versatile generative model for molecules and proteins on diverse downstream tasks like structure-sequence co-design.
-
Geometric Deep Learning for Molecules
- Geometric Deep Learning for Biomolecules. Combining amino acid sequence information, three-dimensional coordinate information, and phylogenetic information to build a large-scale model on protein structure prediction and protein-protein interaction prediction.
- Equivariant Graph Neural Network for Operator Learning. Leveraging the group theoretical results of irreducible representations to build a model equivariant to 3D rigid transformations on continuous input and output. Achieved state-of-the-art results on various equivariant tasks.