Mathematics · Statistics · Computation
Yaning Liu
Associate Professor
Director of Statistical Programs
Department of Mathematical and Statistical Sciences
University of Colorado Denver
Understanding uncertainty.
Building models that make a difference.
I develop computational and statistical methods to understand complex systems, connecting uncertainty quantification, machine learning, and scientific modeling.
I am an associate professor and Director of Statistical Programs in the Department of Mathematical and Statistical Sciences at the University of Colorado Denver.
My research interests include surrogate modeling with machine learning methods, uncertainty and sensitivity analyses, Monte Carlo methods, hydrological modeling, and subsurface energy storage.
Before joining CU Denver, I was a postdoctoral fellow in the Earth & Environmental Sciences Division at Lawrence Berkeley National Laboratory, following graduate study at Florida State University.
Research directions
From uncertainty to insight.
Uncertainty &
sensitivity analysis
Quantifying uncertainty and identifying the parameters that shape model behavior.
Bayesian methods · Monte Carlo 02 /Machine learning &
surrogate modeling
Making demanding scientific simulations more accessible through efficient computational models.
Reduced-order models · Multifidelity 03 /Energy &
environmental systems
Applying computational methods to hydrology, groundwater, and subsurface energy storage.
Aquifer modeling · Energy storageRecent work
New perspectives. New methods.
Hierarchical Dirichlet processes for moment-independent global sensitivity analysis
Reliability Engineering & System Safety · 272, Part 3 · 112656 · 2026
Application of multifidelity proper orthogonal decomposition-based surrogate models to rarefied gas dynamics
Physics of Fluids · 38(6) · 062021 · 2026
Operational performance of compressed CO2 energy storage in aquifers under dynamic reservoir pressure through coupled surface-wellbore-reservoir modeling
Energy · 347 · 140424 · 2026
Teaching & open education
Learn by doing.
I teach numerical analysis, machine learning, Monte Carlo methods, and uncertainty quantification, and support open educational resources that connect mathematics with computation.
in Numerical
Analysis
with PythonRead the online book →
1201 Larimer Street
Denver, CO 80204