Graduate Students
PhD Students
Souvick Bera
Graduate Teaching Fellow
Chauvenet Hall 267
berasouvick@mines.edu
Research:
Nonparametric Inference
Large Sample Theory
Asymptotic analysis
Probability Theory
Rachel Bertaud
Chauvenet Hall 266
rachel_bertaud@mines.edu
Research:
Computational Fluid Dynamics
Numerical Methods
Teaching and Learning
Clubs and Associations:
Society for Women in Mathematics (SWiM)
Mines Mathematics and Computing Collective (MMCC)
Graduate Student Government (GSG)
Susmit Bhattacharyya
Graduate Teaching Fellow
Chauvenet Hall 267
susmitbhattacharyya@mines.edu
Research:
Spatial Extremes
Dibyajyoti Chakrabarti
Chauvenet Hall 266
dibyajyoti_chakrabarti@mines.edu
Research:
Spatial Statistics
Large Sample Theory
Nonparametric Inference
Statistical Genetics
Isabella Chittumuri
Chauvenet Hall 272
ichittumuri@mines.edu
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
Abdul Hafiz Issah
Chauvenet Hall 269
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 268
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
Graduate Teaching Fellow Chauvenet Hall 274
ziyu_li@mines.edu
Research:
Spatial & Bayesian statistics
Computational statistics
Hydrology
Madison Lytle
Chauvenet Hall 266
madison_lytle@mines.edu
Josh Manis
Research:
Algorithms development of many dimensional wave mechanics problems
Grace Mattingly
Chauvenet Hall 274
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
Cal Okenberg
Chauvenet Hall 270 drichardsdinger@mines.edu
Research:
Statistical methods for methane emissions monitoring
Ryan Peterson
Chauvenet Hall 273
rhpeterson@mines.edu
Research:
Applied Statistics
- Aggregation problems in spatial statistics
Alex Pinard
Chauvenet Hall 272
apinard@mines.edu
Research:
Applied Statistics
- Statistical and machine learning methods for data compression applied to massive spatiotemporal datasets
Andres Pruet
Chauvenet Hall 270
andres_pruet@mines.edu
Sweta Rai
Chauvenet Hall 268 srai@mines.edu
Research:
Applied Statistics
- Spatial Statistics
- Time Series Analysis
- Neural Networks
Daniel Ramirez
Chauvenet Hall 266 daniel_ramirez@mines.edu
Research:
Mathematical Biology and Biostatistics
Differential equations and dynamical systems
Mathematical modeling of metabolic systems
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
Chauvenet Hall 270 trsorensen@mines.edu
Research:
Applied Statistics:
Machine learning for detection, quantification, and localization of methane emissions
