Junqi Yin

Biography
Junqi Yin is a computational scientist in Analytics & AI Methods at Scale (AAIMS) group of National Center for Computational Sciences at ORNL. He obtained his Ph.D. in Computational Physics and M.S. in Statistics from the University of Georgia, and B.S. in Physics and Computer Science from Zhejiang University. His research interests range from scalable machine learning/deep learning to materials science, statistical sampling algorithms, HPC, and workflows. He is working with domain scientists to scale up their machine learning applications on DOE leadership-class computing platforms.
Presentations
Workshop
Online Only
Applications
Big Data
Data Analytics
Data Management
W
ACM Gordon Bell Finalist
Awards Presentation
AI-HPC Convergence
Computational Science
Extreme Scale Comptuing
Performance
Scientific Computing
TP
Workshop
Online Only
Machine Learning and Artificial Intelligence
W
Tutorial
Online Only
Extreme Scale Comptuing
Machine Learning and Artificial Intelligence
TUT