I am an aerospace engineer and applied mathematician interested in developing scalable computational methods for the design of next-generation complex engineered systems, e.g., aircraft, spacecraft, and rotorcraft.  Specifically, I am interested in developing simulation-based design methods, where the goal is to make system-level design decisions in the presence of uncertainty and high-dimensional design spaces, with computationally expensive models of the system. My research finds application in the preliminary and detailed design phases of aerospace, marine, mechanical, and naval engineering.

I previously earned my Ph.D. in aerospace engineering from Georgia Tech, where I was fortunate to be advised by Dimitri Mavris and focused on aerospace systems design. As part of my graduate and Ph.D. dissertation research, I have worked on several simulation-based design problems including sensitivity analysis, multidisciplinary design optimization, large-scale design optimization, principled model reduction, and uncertainty quantification. My work has been sponsored by major aerospace corporations including Airbus, Safran, Siemens, NASA, and the Federal Aviation Administration (FAA).

I completed a postdoctoral appointment in the division of Mathematics & Computer Science (MCS) of the Argonne National Laboratory, where I was fortunate to work with Jeffrey Larson and Stefan Wild. At Argonne, I am developing stochastic optimization algorithms for decision-making under uncertainty and a limited budget of simulation evaluations. Our work is sponsored by the U.S. Department of Energy's Advanced Scientific Computing Research (ASCR) program.

I am a full member of the AIAA, the IEEE, and the SIAM. I am also an elected member of the Non Deterministic Approaches (NDA), and Multidisciplinary Design Optimization (MDO) technical committees of the AIAA, where I also serve as the Secretary of the NDA TC. I am a reviewer for leading journals including the Journal of Computational Physics, Technometrics, Aerospace Science & Technology, the AIAA Journal, Structural & Multidisciplinary Optimization, and Physica D. I also actively review for major AI/ML conferences including AISTATS, NeurIPS, ICLR, and ICML. I have a strong commitment to fostering diversity, equity, and inclusiveness in higher education and have served in several initiatives in this regard, including the SIAM Broader Engagements program.