PhD Alumni

Graduation Year 2020:

NameDissertation TitleFaculty AdvisorFirst Position After Graduation
Hao XuQualitative Analysis of Some Elliptic Differential EquationsCongming LiYinnuo Captial
Zhishen HuangTopics of Statistical Machine LearningStephen BeckerPost Doctoral Fellow, Michigan State University
Mitchell KrockSome Models for Large Spatial DataWilliam KleiberPost Doctoral Fellow, Rutgers
Harry DudleyDynamical System Analysis and Data-Drive Model Selection for Differential-Algebraic Equation Models of Microbial ElectrolysisDavid BortzUniversity of Colorado Boulder
Ashton WiensUsing Gaussian processes for registration and nonstationarity emulationWilliam KleiberUSGS
Wenqi ZhangStatistical Approaches to Assess High Frequency Variability of Solar IrradianceWilliam KleiberNational Renewable Energy Laboratory
Dylan AbrahamsenSpace-time evolution with readial basis functions and Hermite-based finite difference methodsBengt FornbergMaxar Technologies
Peter ShafferyUnderstanding the Variance Reduction Effect and Beyesian Structural Time Series for Behind-the-Meter DisaggregationVanja DukicData Scientist, Office of Data Analytics at the University of Colorado Boulder
Jacqueline WentzSpatial-temporal effects of diffusion in complex biochemical networksDavid BortzPost Doctoral Fellow, University of Colorado Boulder, Aerospace
Antony PearsonOn Hidden Structures in Contaminated Symbolic DataManuel LladserPost Doctoral Fellow, Auburn University, Mathematics and Statistics
Joshua AurandOptimal Control of Epstein-Zin Utility on Random Time HorizaonYu-Jui HuangPost Doctoral Fellow, Dublin CIty University, The School of Mathematical Sciences

 

Graduation Year 2019:

NameDissertation TitleFaculty AdvisorFirst Position After Graduation
Gregor RobinsonBeating the curse of dimensionality of sequential Monte Carlo for Bayesian inverse problems in nonlinear fluidsIan GroomsCitrine Informatics
Sama ShresthaMathematical and Statistical Insights into Couples Epizootic DynamicsVanja DukicPharmapace Inc
Jessica GronskiNon-Convex Optimization and Applications to Bilinear Programming and Super-Resolution ImagingStephen BeckerUnitedHealth Group
Eric KightleySparsified Gaussian Mixture ModelsStephen BeckerAmazon
Patrick SprengerGeneralized Riemann Problems in Dispersive HydrodynamicsMark HoeferPost Doctoral Fellow, NC State University, Mathematics Department
Nathan HeavnerBuilding Rank-Revealing Factorizations with RandomizationPer Gunnar MartinssonData Science at ICR, Inc.
Michelle MaidenDispersive Hydrodynamics is Viscous Fluid ConduitsMark HoeferSporian Microsystems
Tracy BabbAccelerated time-stepping of parabolic and hyperbolic PDEs via fast direct solvers for elliptic problemsPer Gunnar Martinsson 
Anna BroidoDescribing the Tails of Degree Distributions in Real-World NetworkdsAaron Clauset and Juan RestrepoMachine Learning Engineer at Apple Inc.