Background

Junqi Yin is a research staff member of the National Center for Computational Science at Oak Ridge National Laboratory. 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 especially Monte Carlo sampling. He has been working with domain scientists to scale their applications and workflows on HPC platforms.

Awards

2021 — Best Paper Award, BENCH'21

2021 — Best Paper Award, SC21

Highlights

April 22, 2022

New Deep Learning Techniques Lead to Materials Imaging Breakthrough

Visualization of an aerosolized SARS-CoV-2 particle with various components inside and outside the particle.
December 30, 2021

2021 at the OLCF: Year in Review

July 28, 2020

OLCF’s Constellation DOI Offers a Permanent Home for OLCF Users’ Data Sets

April 29, 2020

New Data Analysis Software Tools Aim at Addressing the Convergence of HPC and AI

Coiled magnesium sheets and magnesium ingots.
January 17, 2020

Metal Alloys for Industrial Applications Benefit from Supercomputer Modeling