Assistant Professor at University of Colorado Denver
Denver, Colorado, United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Yaning Liu is an assistant professor in applied and computational mathematics at the University of Colorado Denver with nine years of experience building scalable, high-performance software for scientific modeling and uncertainty quantification. She specializes in surrogate and reduced-order models, global sensitivity analysis, and accelerating Monte Carlo methods, and brings hands-on parallel computing expertise in MPI/OpenMP, MPI4PY and PySpark across Python, C++, Matlab, R and Fortran. Her work at Lawrence Berkeley National Lab and in academia focuses on making computationally intractable Earth system and inverse problems tractable, often via variance reduction, particle filters and MCMC. Beyond theory, she translates methods to real data problems—e.g., NLP analyses of Amazon reviews—and maintains a research-driven engineering practice that produces production-ready, scalable tools.
9 years of coding experience
Doctor of Philosophy (Ph.D.), Applied and Computational Mathematics, Doctor of Philosophy (Ph.D.), Applied and Computational Mathematics at Florida State University
Bachelor's degree, Science of Information and Computation, Bachelor's degree, Science of Information and Computation at Zhejiang University
Course contents for Numerical Analysis I (MATH 4650/5660 at CU Denver)
Contributions:149 pushes, 1 branch in 1 year 2 months
mathpythonfinite-element-analysisfractalsanalysis
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Yaning Liu - Assistant Professor at University of Colorado Denver