Research Assistant Professor — Vanderbilt University
As a Research Assistant Professor at Vanderbilt University, my work focuses on exascale scientific computing, computational mechanics, and scientific machine learning. I work on developing scalable computational frameworks and next-generation numerical methods capable of solving large-scale, high-fidelity scientific and engineering problems on modern high-performance computing architectures.
My research lies at the intersection of computational science, machine learning, numerical methods, and large-scale simulation. A significant part of my work involves integrating physics-based modeling with data-driven and AI-assisted approaches to build efficient and adaptive scientific computing frameworks for complex multi-physics systems.
Working in the exascale computing space has exposed me to some of the most challenging problems in modern computational science, where algorithmic efficiency, scalability, parallel computing, and numerical robustness all become critically important. I collaborate extensively with interdisciplinary teams working across computational mechanics, climate science, materials, uncertainty quantification, and scientific AI.
Alongside research, I actively contribute to the development of large collaborative research proposals involving federal agencies, national laboratories, and academic institutions. Writing proposals has given me valuable experience in identifying emerging research directions, building interdisciplinary collaborations, and translating complex scientific ideas into impactful research programs.
One of the most rewarding aspects of my current role has been the opportunity to collaborate with researchers and academics from around the world. These collaborations span multiple disciplines and institutions, allowing me to work on problems that combine advanced mathematics, engineering, machine learning, and high-performance computing in novel ways.
My experience at Vanderbilt has further strengthened my understanding of the global research ecosystem, interdisciplinary scientific collaboration, and the growing role of AI and exascale computing in shaping the future of computational science and engineering.