About Us

Ph.D. Student at the Oden Institute for Computational Engineering and Sciences.

Jon is a native Texan that enjoys aquatic sports and advocates for alternative keyboard layouts. He attended UT Austin for undergrad where he studied mathematics then attended the University of Washington for his Masters in Applied Math. His research interests are in coexistence theory, structured population modeling, and biodiversity. Specifically, exploring life history strategies in structured models for forest communities.

BS, Mathematics, The University of Texas at Austin
MS, Computational and Applied Mathematics, University of Washington

PhD Student at Oden Institute for Computational Engineering and Sciences

Arjit Seth is a graduate PhD student at the University of Texas at Austin. At present, his research focuses on enabling digital twin applications via scientific machine learning methods. Arjit's interests include mathematics, computation, physics, and aerospace engineering. His prior research has covered a broad range of topics, such as amphibious aircraft design, group theory, and integrating machine learning techniques with traditional aircraft design processes. He has also worked on improving aerospace engineering education in Hong Kong by introducing programming and computational methods into the educational process.

Undergraduate - B.Tech Aeronautical Engineering, Manipal Institute of Technology. Masters - MPhil, Mechanical Engineering, Hong Kong University of Science and Technology

PhD Student at Oden Institute for Computational Engineering and Sciences.

I work broadly on uncertainty quantification methods to enable scalable predictive digital twins as a framework for robust decision making with applications to various engineering and health systems.

I work on development of a Eulerian-Lagrangian and WENO schemes for advective flow; the study of mixed methods and cell-centered finite differences for nonlinear and geometrically irregular elliptic problems; the modeling and simulation of multi-phase flow through porous media, including fractured and vuggy media, with applications to petroleum production and groundwater resources; numerical homogenization, subgrid upscaling, and domain decomposition of heterogeneous media; and simulation of the dynamics of the Earth's mantle.

I use numerical methods for partial differential equations, specifically flow and transport problems in computational fluid dynamics; scientific computing and parallel computing; finite element analysis, discontinuous Galerkin methods; shallow water systems, hurricane storm surge modeling, rainfall-induced flooding; ground water systems, flow in porous media, geochemistry; data assimilation, parameter estimation, uncertainty and error estimation.