Guolin Ke
Scholar

Guolin Ke

Google Scholar ID: M2qJgtoAAAAJ
DP Technology
Machine LearningAI for Science
Citations & Impact
All-time
Citations
25,669
 
H-index
25
 
i10-index
43
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Won first place (1M CNY) in the 1st Alibaba (Tmall) Big Data Competition (2014) and first place (100K USD) in the 1st Didi Algorithm Competition (2016). Created LightGBM, one of the most popular GBDT tools, which has received ~15K stars in GitHub and 220M+ total downloads. Led the development of Graphormer, which won the 1st place of the quantum prediction track of Open Graph Benchmark Large-Scale Challenge (KDD CUP 2021) and the 1st place of Open Catalyst Challenge (NeurIPS 2021). Led the development of Uni-Fold, the first AlphaFold reimplementation, with open-sourced training codes and full training dataset.
Research Experience
  • Previously, he was a Senior Researcher at the Machine Learning Group at Microsoft Research Asia (MSRA), where he focused on the development of high-performance machine learning algorithms and large-scale pretrained language models. He has led several significant projects, including LightGBM, Graphormer, and Uni-Fold.
Education
  • No specific education background information provided.
Background
  • Currently the head of Machine Learning Group at DP Technology, focusing on AI for Science. Research interests include large-scale representation learning for molecules, 3D geometry learning, 3D molecular generation, protein structure prediction, and more. His goal is to accelerate the development of science through machine learning.
Miscellany
  • No personal interests or hobbies information provided.