Graduate Students

PhD Students

Souvick Bera

Souvick Bera

Graduate Teaching Fellow Chauvenet Hall 267
berasouvick@mines.edu

Research:

  • Nonparametric Inference
  • Large Sample Theory
  • Asymptotic analysis
  • Probability Theory

 

Rachel Bertaud

Rachel Bertaud

rachel_bertaud@mines.edu

Research:

  • Nonparametric Inference
  • Large Sample Theory
  • Asymptotic analysis
  • Probability Theory

 

Susmit Bhattacharyya

Susmit Bhattacharyya

Graduate Teaching Fellow
Chauvenet Hall 267
susmitbhattacharyya@mines.edu

Research:

  • Spatial Statistics
Dibyajyoti Chakrabarti

Dibyajyoti Chakrabarti

dibyajyoti_chakrabarti@mines.edu

Research:

  • Spatial Statistics
  • Large Sample Theory
  • Nonparametric Inference
  • Statistical Genetics

Isabella Chittumuri

Chauvenet Hall 272
ichittumuri@mines.edu

Will Daniels

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

dengler@mines.edu

Ryker Fish

Ryker Fish

Chauvenet Hall 268
rfish@mines.edu

Research:

Computational fluid dynamics and numerical methods

Justin Garrish

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

Eric Gelphman

Chauvenet Hall 271
eric_gelphman@mines.edu

 

Matt Hofkes

Matt Hofkes

Graduate Teaching Fellow

mhofkes@mines.edu

Andy Holmberg

Andy Holmberg

Chauvenet Hall 266
andrew_holmberg@mines.edu

 

Abdul Hafiz Issah

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

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

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

Brandon Knutson

Chauvenet Hall 269
bknutson@mines.edu

Research:
Mathematical modeling, numerical simulation, and visualization to understand physical systems

Ziyu Li

Ziyu Li

Graduate Teaching Fellow Chauvenet Hall 274
ziyu_li@mines.edu

Research:

  • Spatial & Bayesian statistics
  • Computational statistics
  • Hydrology
Madison Lytle

Madison Lytle

Chauvenet Hall 266
madison_lytle@mines.edu

Josh Manis

Josh Manis

jmanis@mines.edu

Research:
Algorithms development of many dimensional wave mechanics problems

Grace Mattingly

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

Juliette Mukangango

Juliette Mukangango

Chauvenet Hall 268
jmukangango@mines.edu

Research:
Applied Statistics

  • Robust inferential methods for spatial data in the presence of outliers
Cal Okenberg

Cal Okenberg

Chauvenet Hall 270 drichardsdinger@mines.edu

Research:

Statistical methods for methane emissions monitoring

Ryan Peterson

Ryan Peterson

Chauvenet Hall 273
rhpeterson@mines.edu

Research:
Applied Statistics

  • Aggregation problems in spatial statistics
Alex Pinard

Alex Pinard

Chauvenet Hall 272
apinard@mines.edu

Research:
Applied Statistics

  • Statistical and machine learning methods for data compression applied to massive spatiotemporal datasets
Vivekananda Pradhan

Vivekananda Pradhan

vpradhan1@mines.edu

Research:

  • Biostatistics
  • Data Science
  • Machine Learning
Andres Pruet

Andres Pruet

Chauvenet Hall 270
andres_pruet@mines.edu

Sweta Rai

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

 

Antony Sikorski

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

Troy Sorensen

Chauvenet Hall 270 trsorensen@mines.edu

Research:
Applied Statistics:

Machine learning for detection, quantification, and localization of methane emissions

 

Soraya Terrab

Soraya Terrab

Chauvenet Hall 275
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

Master’s Thesis Students

Georgia Brooks
Lauren Quesada