Currently, I am a Postdoctoral Research Fellow at the UTRGV Institute for Advanced Manufacturing. My work focuses on advancing materials discovery for fusion energy, leveraging additive manufacturing, robotics, and autonomous experimentation to navigate complex design spaces and accelerate experimental lifecycles.
I earned my B.S. in Applied Mathematics (Summa Cum Laude) and my Ph.D. in Mathematics and Statistics with Interdisciplinary Applications from UTRGV. My doctoral dissertation introduced a four-step framework to guide domain scientists in adopting AI for scientific discovery, supported by case studies with direct relevance to national laboratory initiatives.
Working alongside multidisciplinary teams at Lawrence Livermore, Oak Ridge, and Argonne National Laboratories, I leverage high-performance computing (HPC) and data-driven methods to move machine learning models out of the sandbox and into live laboratory and manufacturing workflows.
Beyond the lab, I am deeply committed to mentoring P-20 students and expanding access to STEM careers, empowering the next generation of engineers and scientists to lead the future of technology