Patrick Tabiri
The University of Texas at El Paso
Computational Science
Biography
My fascination with modeling the Navier–Stokes equations to solve complex fluid dynamics problems began during my undergraduate studies in Mechanical Engineering at Kwame Nkrumah University of Science and Technology. Translating physical principles into mathematical formulations and bringing them to life through computation inspired me to pursue advanced training in simulation and modeling. This passion has led me to a PhD in Computational Science at The University of Texas at El Paso. My research focuses on developing algorithms and numerical schemes to solve high-order partial differential equations on high-performance computing clusters. I have hands-on experience running large-scale workloads on HPC systems, optimizing performance and scalability for scientific applications. In addition, I am exploring how deep learning techniques can complement traditional numerical methods, accelerating PDE solvers and opening new avenues for addressing complex multi-scale problems. I am also AWS Solutions Architect Associate certified, which strengthens my ability to bridge high-performance computing with modern cloud platforms. As Secretary of the SIAM UTEP Student Chapter, I contribute to fostering collaboration and technical growth among students and researchers. Ultimately, I am driven by a commitment to harness computation to expand the frontiers of scientific discovery.
Academic Information
Status: PhD Student
Year in Program: 2nd
Major/Specialty: Computational Science
Degrees: BSc. Mechanical Engineering - 2021 Ph.D Computational Science - In Progress
Research Areas
Applied Mathematics; Machine Learning/AI
Research Interests
My research interests include machine learning, high-performance computing, and cloud infrastructure management, with a focus on optimizing GPU-accelerated workloads and scalable systems for scientific discovery.
Topical Areas
Applied Mathematics; Artificial Intelligence and Intelligent Systems; Mechanical Engineering; Other Computer and Information Sciences; Other Engineering and Technologies
Relevant Coursework
Machine Learning Deep Learning fro PDEs Advanced Scientific Computing Computational Linear Algebra Numerical Analysis Mathematical and Computational Modelling