I am always looking for skilled and motivated folks to work with. I typically work with students from the Department of Mathematics or the School of Computing at Utah. Typically I desire a foundation of knowledge that spans some subset of linear algebra, differential equations, numerical methods, proofbased analysis, and probability/statistics. If you are interested, please send me a CV and a short description of your interests.
Please note that if you are a prospective graduate student in Mathematics, intending to apply to the University of Utah, you should follow the standard admissions procedures.
Current group members
Xuesong Bai
(jointly advised w/ Elena Cherkaev)

PhD candidate, Mathematics (expected Spring 2022) 
University of Utah 
fractional PDEs, inverse problems, optimization, numerical algorithms 
Dihan Dai
(jointly advised w/ Yekaterina Epshteyn)

PhD candidate, Mathematics (expected Spring 2022) 
University of Utah 
Numerical methods for hyperbolic equations under uncertainty, structurepreserving function approximation via optimization 
Zexin Liu

PhD candidate, Mathematics (expected Spring 2022) 
University of Utah 
uncertainty quantification, cardiac biomedical applications, orthogonal polynomials 
Ryleigh Moore

PhD candidate, Mathematics (expected Spring 2022) 
University of Utah 
numerical methods for partial and stochastic differential equations 
Yiming Xu
(jointly advised w/ Tom Alberts)

PhD candidate, Mathematics (expected Spring 2022) 
University of Utah 
highdimensional probability and approximation, statistical learning, multifidelity methods 
Vahid Keshavarzzadeh
(jointly advised w/ Mike Kirby)

Postdoctoral Scholar, SCI Institute 2017present 
University of Utah 
computational mechanics, highdimensional quadrature, uncertainty quantification, multifidelity algorithms 
Jarom Hogue
(jointly advised w/ Mike Kirby)

Postdoctoral Scholar, SCI Institute 2020present 
University of Utah 
deep learning, largescale numerical linear algebra 
Group alumni
Vidhi Zala
(jointly advised w/ Mike Kirby)

Intel Corporation 
PhD, Computing December 2021 
University of Utah 
convex optimization, structurepreserving function approximation, numerical methods for PDEs 
Jacia Abplanalp

Data analysis internship at Zions Bank 
BS Mathematics May 2021 
University of Utah 
graph spectral clustering 
Vignesh Iyer

Graduate student at UC Irvine 
BS, Mathematics May 2021 
University of Utah 
numerical methods for spatial fractional PDEs 
Erin Linebarger

Research scientist, Neya Systems 
PhD, Mathematics May 2020 
University of Utah 
robotics path planning and decisionmaking 
Jiahua Jiang

Assistant Professor, ShanghaiTech University 
PhD, Engineering and Applied Science May 2018 
University of Massachusetts Dartmouth 
reduced order modeling, uncertainty quantification 
Mani Razi
(jointly advised w/ Mike Kirby)

Senior quantitative risk analyst, USAA 
Postdoctoral Scholar, SCI Institute 20162019 
University of Utah 
multifidelity methods, uncertainty quantification 
Gurpartap Bhatti

Software engineer, Navitaire 
BS Mathematics December 2018 
University of Utah 
sparse approximation, dynamical systems 
