I am an Assistant Professor of Aerospace Engineering at Rensselaer Polytechnic Institute, where I lead the Computational Scientific Machine Learning (CSML) Lab. I work on the frontiers of AI for physical systems by developing transformative numerical and data-driven methods for predictive modeling, inverse problems, and control of complex large-scale dynamical systems, ultimately accelerating scientific discovery across engineering and applied sciences. I earned my Ph.D. in Aerospace Engineering and Scientific Computing from the University of Michigan (2021) under the mentorship of Karthik Duraisamy, and completed postdoctoral research at the AI Institute in Dynamic Systems at the University of Washington, collaborating with Nathan Kutz and Steve Brunton. I am affiliated with the Rensselaer-IBM AI Research Collaboration. Our lab has access to numerous high-end HPC clusters (A100/A6000/GB200).