The Applied Mathematics program at the University of Colorado at Boulder is as unique as its graduates. With 22 tenure track faculty, 45+ affiliated faculty, numerous national research labs located right in the foothills of Boulder, and a plethora of faculty and student lead research projects; the Applied Mathematics graduates have found success in both academia and professionally run companies and conglomerates alike. Below you can see where our graduates have gone to pursue their research interests and career goals:

Companies Academia
NCAR Metro State
Software Architect at Spectra Clarkson University
National Security Agency Georgia Institute of Technology
Los Alamos National Laboratory University of Washington
Bioninformatics Davidson College
Food and Water Watch Fitchburg State University
Oak Ridge National Laboratory Montclair State University
Scientist at MetOffice in UK Austr. National University
Ubiquity Corp Washington State University
Digital Globe University of Western Montana
Prudential Seattle University
Cadence Design System Boise State
Exxon Mobil University of Illinois at Champagne Urbana
Yahoo! Labs Technische Universitat Wein
Aerospace Corporation University of Newfoundland
Groupon Wabash College
Cold Spring Harbor Laboratory National Central University
SpotRight Inc Pontifical Catholic University of Rio de Janeiro
Center for Communicable Disease Yonsei University of Seoul, Korea
National Institute of Standards and Technology Pennsylvania University
Seagate Technology  Colorado State University
Walt Disney Company Morehouse College

Graduation Year 2020:

Name Dissertation Title Faculty Advisor First Position After Graduation
Hao Xu Qualitative Analysis of Some Elliptic Differential Equations Congming Li Yinnuo Captial
Zhishen Huang Topics of Statistical Machine Learning Stephen Becker Post Doctoral Fellow, Michigan State University
Mitchell Krock Some Models for Large Spatial Data William Kleiber Post Doctoral Fellow, Rutgers
Harry Dudley Dynamical System Analysis and Data-Drive Model Selection for Differential-Algebraic Equation Models of Microbial Electrolysis David Bortz University of Colorado Boulder
Ashton Wiens Using Gaussian processes for registration and nonstationarity emulation William Kleiber USGS
Wenqi Zhang Statistical Approaches to Assess High Frequency Variability of Solar Irradiance William Kleiber National Renewable Energy Laboratory
Dylan Abrahamsen Space-time evolution with readial basis functions and Hermite-based finite difference methods Bengt Fornberg Maxar Technologies
Peter Shaffery Understanding the Variance Reduction Effect and Beyesian Structural Time Series for Behind-the-Meter Disaggregation Vanja Dukic Data Scientist, Office of Data Analytics at the University of Colorado Boulder
Jacqueline Wentz Spatial-temporal effects of diffusion in complex biochemical networks David Bortz Post Doctoral Fellow, University of Colorado Boulder, Aerospace
Antony Pearson On Hidden Structures in Contaminated Symbolic Data Manuel Lladser Post Doctoral Fellow, Auburn University, Mathematics and Statistics
Joshua Aurand Optimal Control of Epstein-Zin Utility on Random Time Horizaon Yu-Jui Huang Post Doctoral Fellow, Dublin CIty University, The School of Mathematical Sciences

Graduation Year 2019:

Name Dissertation Title Faculty Advisor First Position After Graduation
Gregor Robinson Beating the curse of dimensionality of sequential Monte Carlo for Bayesian inverse problems in nonlinear fluids Ian Grooms Citrine Informatics
Sama Shrestha Mathematical and Statistical Insights into Couples Epizootic Dynamics Vanja Dukic Pharmapace Inc
Jessica Gronski Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging Stephen Becker UnitedHealth Group
Eric Kightley Sparsified Gaussian Mixture Models Stephen Becker Amazon
Patrick Sprenger Generalized Riemann Problems in Dispersive Hydrodynamics Mark Hoefer Post Doctoral Fellow, NC State University, Mathematics Department
Nathan Heavner Building Rank-Revealing Factorizations with Randomization Per Gunnar Martinsson Data Science at ICR, Inc.
Michelle Maiden Dispersive Hydrodynamics is Viscous Fluid Conduits Mark Hoefer Sporian Microsystems
Tracy Babb Accelerated time-stepping of parabolic and hyperbolic PDEs via fast direct solvers for elliptic problems Per Gunnar Martinsson  
Anna Broido Describing the Tails of Degree Distributions in Real-World Networkds Aaron Clauset and Juan Restrepo Machine Learning Engineer at Apple Inc.

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