About Us

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

I am interested in leveraging data assimilation to better calibrate large ice sheets and ocean models in particular using Automatic Differentiation derived adjoint-based gradients. I also dabble with physics-informed machine learning applications in these domains.

PhD Student at Oden Institute for Computational Engineering and Sciences

I use optimization and machine learning techniques for process control and energy system. The current focus of my research is production scheduling optimization for fluctuating electricity prices and energy supplies.

PhD Student at Oden Institute for Computational Engineering and Sciences.

I seek to understand computational mechanisms underlying disease states characterized by abnormal behavior in neural oscillators. The current focus of my research is on neuron classification via optimization mechanisms.

BS in Mathematics, BBA Business Honors

I'm a Junior at UT interested in a career in data science or quantitative finance.

PhD Student at Oden Institute for Computational Engineering and Sciences

I use numerical simulations to study diverse fluid flow problems in planetary sciences such as impact crater lake dynamics on Mars, melting of ice on glaciers and formation of planetary cores.

Undergraduate Student in Astronomy and Physics.

I work as an undergraduate research assistant developer for Keitt Lab's Biosensing project for whom I have successfully established a Discord Situation-Report automated bot for our environmental sensors, and I am currently leading the Sensor Communication and Audio Source Triangulation Mesh team working to establish a network communication mesh between audio sensors to aid connectivity, file transmissibility, audio source triangulation and 3D-mapping among our future environmental sensor deployment sites. I also hope to utilize most of my applied mathematics knowledge to further my astrophysical studies and research in analyzing data from Caltech's LIGO cosmic gravitational-wave background data collected from the LIGO observatory and its partners' observation runs.

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.

3rd-year Undergraduate Student in Mathematics.

As part of the Autonomous Systems Group at Oden Institute, I apply AGI Systems Tool Kit to model drone communications in simulations of real-life scenarios.

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.