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 
Vidhi Zala
(jointly advised w/ Mike Kirby)

PhD candidate, Computing (Expected December 2021) 
University of Utah 
convex optimization, structurepreserving function approximation, numerical methods for PDEs 
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 