I build decision science and optimization AI tools.
By day, I am an optimization engineer, coder, and co-founder of Nextmv. I’m interested in hybrid optimization, decision diagrams, and mixed integer programming. My applications skew toward logistics for delivery platforms, with detours into cutting and packing. Lately I’ve been embedding a lot of trained machine learning models in optimization problems, and exploring applications of inverse optimization.
For the past several years, I’ve worked in real-time optimization for on-demand delivery, scheduling, forecasting, and simulation. I did a MS in Operations Research by night at George Mason University, then a PhD in the same department under the advisement of Karla Hoffman.
In my spare time, I’m an amateur cellist, and a cat and early music enthusiast, plus…
- a board member of Classical Uprising,
- a mentor of startup founders at the Roux Institute,
- and on the membership committee of INFORMS.