Research Group

My group works at the intersection of scientific computing, applied mathematics, and scientific machine learning, with an emphasis on scalable algorithms for modeling, simulation, and inference.

Current members

Postdoctoral researchers

Alumni

Research scientists

• Hong Zhang2016–2018, 2021–2026Sensitivity analysis, adjoints, PETSc
• Ahmed Attia2019–2025Optimal experimental design, data assimilation
• Shinhoo Kang2023–2024PDEs, CFD, multidomain simulation, machine learning
• Julie Bessac2017–2021Data analysis, statistics
• Oana Marin2016–2018CFD, spectral elements; co-supervised with Barry Smith

Postdoctoral researchers

• Piyush Garg2022–2023Machine learning, climate models; now at NVIDIA
• Shinhoo Kang2019–2023PDEs, CFD, multidomain simulation, machine learning
• Johann Rudi2020–2022PDEs, inverse problems
• Ahmed Attia2017–2019Data assimilation
• Vishwas Rao2017–2018Data assimilation
• Julie Bessac2014–2017Data analysis, statistics
• Hong Zhang2014–2016Sensitivity analysis, PETSc
• Zheng Zhang2015–2016Uncertainty quantification
• Debojyoti Ghosh2013–2015Time stepping, CFD, PETSc
• Ilias Bilionis2013–2014Uncertainty quantification
• Xiaoyan Zeng2012UQ for the crop model in CESM
• Shrirang Abhyankar2012–2014Time stepping and power grid applications, PETSc

Graduate students in practicum

• Haoyuan Chen2023Texas A&M University, Industrial and Systems Engineering
• Brian Chen2023University of Michigan, Applied Mathematics
• Shaohui Liu2019Stony Brook / UT Austin, Computational Applied Mathematics
• Tucker Hartland2018UC Merced, Mathematics
• Rohit Tripathy2017Purdue, Mechanical Engineering
• Joey Hart2016North Carolina State University, Applied Mathematics
• Ahmed Attia2015Virginia Tech, Computer Science
• Hong Zhang2012Virginia Tech, Computer Science
• Alexandru Cioaca2010–2011Virginia Tech, Computer Science
• Jeffrey Steward2010Florida State University, Mathematics
• Matthew Rocklin2009University of Chicago, Computer Science