Scholar
Le Song
Google Scholar ID: OQqQLbMAAAAJ
CTO, GenBio AI; Professor, MBZUAI
Citations & Impact
Citations
31,906
H-index
80
i10-index
228
Publications
20
Co-authors
25
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Won multiple best paper awards in top AI conferences like NeurIPS, ICML, and AISTATS
- Published numerous papers on topics such as generative adversarial user model, particle flow Bayes' rule, learning to explain from an information-theoretic perspective, etc.
- Participated in various workshops and tutorials, including Simon Institute 2017 Workshop, Machine Learning Summer School 2016, etc.
Research Experience
- CTO of GenBio AI
- Full Professor at Mohamed bin Zayed University of AI (MBZUAI)
- Tenured Associate Professor at Georgia Institute of Technology
- Conference Program Chair of ICML 2022
Background
- Currently the CTO of GenBio AI and a full professor at Mohamed bin Zayed University of AI (MBZUAI). He was a tenured associate professor at Georgia Institute of Technology and the conference program chair of ICML 2022. He is an expert in AI and AI for Science and has won many best paper awards in premium AI conferences such as NeurIPS, ICML, and AISTATS. Recently, his work on using large language models for protein structure predictions has been featured as the cover story in Nature Machine Intelligence.
