People#
Group Lead#
Jed Brown #
Jed is an Assistant Professor of Computer Science and leads the Physical Prediction, Inference, and Design Group. Among other community software work, he is a maintainer of PETSc and libCEED, and Associate Editor for JOSS. He likes climbing, skiing, running, and spending time with his two daughters.
Research Associates#
Adeleke O. Bankole #
Adeleke is a Research Associate interested in the design, development, analysis and implementation of numerical methods/algorithms, PDE discretizations (FVM, FDM, FEM, Meshfree Particle Methods) applied to fluid flow simulations. He enjoys doing HIIT sports.
Jeremy L. Thompson #
Jeremy is a research software engineer. He is a core developer of libCEED and Ratel, interested in performanceportable highorder finite element methods, matrixfree multigrid, and computational fluid and solid mechanics.
PhD Students#
Leila Ghaffari  Computer Science#
Leila (laylah) is one of the developers of libCEED interested in highorder finite element methods, computational fluid mechanics, and preconditioning methods for CFD solvers.
Rezgar Shakeri  Civil Engineering#
Graduate student in Civil Engineering working on mixedFEM for porous media and incompressible materials.
Mike McCabe  Computer Science#
Mike is a PhD student working on integrating machine learning and numerical methods for computational science. His current interests include SciML and optimization for deep learning.
Rey Koki  Computer Science#
Ren Stengel  Computer Science#
Ren is a PhD student working on Ratel development. Their current interests revolve around improving the accessibility of High Performance and Scientific computation via more efficient algorithms and computational neuroscience.
Corey Murphey  Computer Science#
Constance Delannoy  Applied Math#
Sarah Gage  Computer Science#
Zach Atkins  Computer Science#
Zach is a PhD student in Computer Science working on Ratel development.
Masters Students#
Emily Jakobs  Applied Math#
Emily is a M.S. student in Applied Math who is working on applying machine learning to inverse problems in computational solid and fluid mechanics. Interests include statistics in dynamical systems, algorithmic differentiation, and robust numerical PDE methods.
Undergraduate Students#
Devon Quispe#
Zack Jorquera  Computer Science#
Zack is an undergraduate student studying Computer Science and Applied Mathematics. In his free time he likes to hike, ski, and whitewater kayak.
David Reeder#
Alumni#
Name 
Position 
Current Position 

PhD Student, 20172021 
RSE, CU Boulder 

Emily Jakobs 
BS+MS Student, 20192021 
ANSYS 
Postdoc, 20182020 
RSE, Caltech 

PhD Student, 20162020 
MLSys Engineer, OctoML 

PhD Student, 20152017 
Researcher III, NREL 

Arash Mehraban 
PhD Student, 20152017, 2020 

BS+MS Student, 20172019 
Engineer 