About Me

I am a researcher working at the intersection of engineering, optimization and machine learning. I obtained my PhD in aerospace engineering from MIT in January 2022, working on methods for global and robust optimization methods for engineering design. A majority of my work is open source and available here. Since May 2022, I have been applying my skills at MITRE in the Decision Analytics Group, where I hope to have an impact in the public sector.

In my Master’s and PhD work, I was particularly motivated by the potential of optimization in improving the engineering design process. I used geometric programming and its non-log-convex extension signomial programming to tackle conceptual engineering design problems. I implemented robust optimization (RO) in engineering design and explored how RO improves engineering design decisions under uncertainty. Later in my PhD, I used machine learning methods to enable global optimization over arbitrary nonconvex, black box and data driven constraints. I was advised by Prof. Dimitris Bertsimas, Prof. Mark Drela, and Principal Research Engineer Robert Haimes.