Li Tang
Scientist 2 at Los Alamos National Laboratory
Los Alamos, New Mexico, United States
Summary
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Top SchoolLi Tang is a Scientist 2 at Los Alamos National Laboratory with eight years of experience specializing in performance and power modeling, HW/SW co-design, and heterogeneous computing. With a Ph.D. in Computer Science and Engineering from the University of Notre Dame and prior research roles at Brookhaven and Sandia, Li bridges deep academic rigor with national-lab scale systems engineering. He focuses on optimizing programming models and runtime behaviors to extract efficiency on diverse hardware, often working at the intersection of architectural insight and software-level optimization. Based in New Mexico, Li brings a practical, measurement-driven approach to reducing power and improving performance in complex computing stacks—an orientation reflected in sustained research roles across top U.S. labs.
7 years of coding experience
1 year of employment as a software developer
M.E., Computer Science, M.E., Computer Science at Huazhong University of Science and TechnologyPh.D., Computer Science and Enginnering, Ph.D., Computer Science and Enginnering at University of Notre Dame
Github Skills (15)
perf5
performance-counters4
chemistry4
computational-chemistry3
high-performance2
program-analysis2
rust2
python1
visualization1
performance-analysis1
data-viz1
relational-algebra1
scientific-computing1
computational-science1
data-analysis1
Programming languages (4)
Github contributions (5)
Contributions:1 release, 151 pushes, 6 branches in 1 year 6 months
lanl/TensorOcean
Dec 2022 - Jan 2023
Contributions:33 commits, 27 pushes, 2 branches in 29 days
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