Hello! I am a PhD Candidate in the Uncertainty Quantification Group at the University of Houston, advised by Ruda Zhang.
My research focuses on developing data-driven technologies for resilient system designs and engineering applications. I specialize in optimization under uncertainty (Bayesian Optimization), probabilistic modeling (Gaussian Processes), and fully automated systems (Digital Twins). These areas align with the increasing use of GPU-accelerated supercomputing, sensing technologies, and artificial intelligence to support robust design and intelligent decision-making.
When I am not immersed in research or developing mathematically sophisticated software, I enjoy church service, giving back to my community, exploring the venture capital space, listening to diplomatic speeches, and catching a good game of football.
Education
- PhD., University of Houston, May 2027*
- PGCert. (Distinction), Nigerian University of Technology and Management, August 2022
- BSc. (First Class Honors), University of Lagos, November 2021
News
Mar 16, 2026 - Our paper on Epsilon-Greedy Thompson Sampling to Bayesian Optimization received the Editor’s Award from the Journal of Computing and Information Science in Engineering (JCISE)! This paper is now open access—plesse check it out.
Feb 9, 2026 - Our paper on Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization was accepted to Springer Nature Journal of the International Society for Structural and Multidisciplinary Optimization (ISSMO)!
October 20, 2025 - Awarded the UH-Energy Chevron Graduate Energy Fellowship!
Apr 25, 2025 - Landed in Singapore to present our paper on Optimizing Posterior Samples for Bayesian Optimization via Rootfinding at ICLR 2025!
Jan 22, 2025 - Our research on Optimizing Posterior Samples for Bayesian Optimization via Rootfinding was accepted to ICLR 2025!
Nov 19, 2024 - Awarded the Jimmie A. Schindewolf Academic Scholarship for academic and research excellence at the University of Houston!
Nov 14, 2024 - Our paper on Automated Design of Nonreciprocal Thermal Emitters via Bayesian Optimization was accepted to Elsevier Journal of Quantitative Spectroscopy and Radiative Transfer!
Nov 12, 2024 - Honored to receive travel funding from Google Research to present at the NeurIPS 2024 BDU Workshop in Vancouver!
Oct 09, 2024 - Our research on Gaussian Process Thompson Sampling via Rootfinding was accepted for oral presentation at NeurIPS 2024 BDU Workshop!
Aug 1, 2024 - Our paper on Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies was accepted to ASME Journal of Computing and Information Science in Engineering!
May 22, 2024 - Selected and fully funded for the Summer 2024 NHERI Computational Academy at the Texas Advanced Computing Center (TACC), UT-Austin.
March 26, 2024 - Selected to receive the Cullen Fellowship Travel Grant for a presentation on Digital Twins at the 2024 ASCE Engineering Mechanics Institute, Chicago.
Contact
taadebiyi2 ‘at’ uh ‘dot’ edu
For collaboration opportunities, project discussions, or professional inquiries, feel free to reach out via email.
You can also reach me via LinkedIn. Kindly note that response times may vary due to bandwidth limitations.