Graduate Students
Graduate Students
Laura Albrecht
Research:
Applied Statistics
Mathematical Biology and Biostatistics
- Statistical and mathematical modeling of infectious diseases
- Connecting mathematical models with data for parameter identifiability and estimation
Maggie Bailey
Chauvenet Hall 272
mdbailey@mines.edu
Research:
Applied Statistics
- Spatial and environmental statistics
- Computational statistics and big data
Souvick Bera
Chauvenet Hall 267
berasouvick@mines.edu
Research:
- Nonparametric Inference
- Large Sample Theory
- Asymptotic analysis
- Probability Theory
Graduate Teaching Fellow
Will Daniels
Chauvenet Hall 272
wdaniels@mines.edu
Personal Website
Research:
Applied Statistics
- statistical modeling of fire season intensity
- statistical methods for quantifying and localizing methane emissions
- spatial modeling for large satellite data
Davis Engler
Ryker Fish
Chauvenet Hall 268
rfish@mines.edu
Research:
Computational fluid dynamics and numerical methods
Justin Garrish
Chauvenet Hall 271
garrish@mines.edu
Research:
Mathematical Biology and Biostatistics
Computational Mathematics and Analysis
- Mathematical and statistical modeling of metabolic systems
- Inverse problems in biology
Clubs and Associations:
Mathematical Biology
Mines Mathematics and Computing Collaborative
Matt Hofkes
Chauvenet Hall 267
mhofkes@mines.edu
Abdul Hafiz Issah
Chauvenet Hall 270
aissah@mines.edu
Research:
Scientific data compression, associated error analysis, and error propagation through digital signal processing.
Michael Ivanitskiy
Chauvenet Hall 269
mivanits@mines.edu
Personal Website
Research:
Computational Mathematics and Analysis
Mathematical Biology and Biostatistics
- Plasticity and learning in biological neural networks
- Robustness & interpretability in ML algorithms
Meng Jia
Chauvenet Hall 270
mjia@mines.edu
Research:
Applied Statistics
Machine Learning
- Bayesian inversion for localizing methane emission sources
- Machine learning models for detecting abnormal methane emissions
Olga Khaliukova
Chauvenet Hall 267
okhaliukova@mines.edu
Research:
Applied Statistics
- Spatial statistics (application: methane emissions satellite data)
- Machine Learning (application: image analysis)
- Neural Network Architecture
Clubs and Associations:
Society for Women in Mathematics (SWiM)
Brandon Knutson
Chauvenet Hall 269
bknutson@mines.edu
Research:
Mathematical modeling, numerical simulation, and visualization to understand physical systems
Ziyu Li
Chauvenet Hall 275
ziyu_li@mines.edu
Research:
- Spatial & Bayesian statistics
- Computational statistics
- Hydrology
Josh Manis
Research:
Algorithms development of many dimensional wave mechanics problems
Grace Mattingly
Chauvenet Hall 269
gmattingly@mines.edu
Research:
Computational Mathematics and Analysis
Applied Mathematics and Wave Phenomena
Clubs and Associations:
Society of Women in Mathematics (SWiM)
Women Graduate Students
Juliette Mukangango
Chauvenet Hall 268
jmukangango@mines.edu
Research:
Applied Statistics
- Robust inferential methods for spatial data in the presence of outliers
Ryan Peterson
Chauvenet Hall 273
rhpeterson@mines.edu
Research:
Applied Statistics
- Aggregation problems in spatial statistics
Matthew Picklo
Chauvenet Hall 266
mpicklo@mines.edu
Research:
Computational Mathematics and Analysis
Applied Mathematics and Wave Phenomena
- Improved numerical methods via SIAC post-processors
Alex Pinard
Chauvenet Hall
apinard@mines.edu
Research:
Applied Statistics
- Statistical and machine learning methods for data compression applied to massive spatiotemporal datasets
Sweta Rai
Research:
Applied Statistics
- Spatial Statistics
- Time Series Analysis
- Neural Networks
Daniel Richards-Dinger
Research:
Statistical methods for methane emissions monitoring
Lucas Schauer
Chauvenet Hall
lschauer@mines.edu
Research:
Computational Mathematics and Analysis
Computational Hydrology
- Particle Tracking Schemes for Simulating Lagrangian Reactive Transport
- High Performance Computing for Accelerating Simulation Run Time
Antony Sikorski
Chauvenet Hall 273
asikorski@mines.edu
Research:
Applied Statistics
- Improving spatial methods for big data sets by using ML algorithms and leveraging sparsity
Troy Sorensen
Research:
Applied Statistics:
Machine learning for detection, quantification, and localization of methane emissions
Shelby Stowe
Chauvenet Hall 266
sstowe@mines.edu
Research:
Mathematical biology and dynamical systems
- Mathematical modeling of sleep and circadian rhythms during early childhood
Clubs and Associations:
Society of Women in Mathematics (SWiM)
Mathematical Biology Research Group
Soraya Terrab
Chauvenet Hall 266
sterrab@mines.edu
Research:
Computational Mathematics and Analysis
- Discontinuity detection in numerical data
Clubs and Associations:
Society for Women in Mathematics (SWiM)
Mines Mathematics and Computing Collaborative
Alex Vidal
Chauvenet Hall
vidal@mines.edu
Research:
Applied Statistics
Optimization
- Zeroth order stochastic optimization
- Machine learning/statistical applications in remote sensing