I use data and models to make complex decisions.
In my work, I direct Grubhub's Decision Engineering department, which builds strategic, tactical, and operational decision services enabling real-time meal delivery at enormous scale, and the algorithmic and quantitative components that power them.
Before that, I created successful dynamic vehicle routing systems for on-demand delivery at Zoomer, models and simulations to help large federal agencies make better decisions at MITRE, and data journalism projects in The Washington Post newsroom.
I've done this while finishing bachelors and masters degrees in Computer Science and Operations Research, respectively, and finally a Ph.D. in Systems Engineering & Operations Research by night. I recently defended my dissertation, Exact Methods for Solving Single-Vehicle Pickup and Delivery Problems in Real Time. My academic research applies hybrid optimization techniques to pickup and delivery problems for real-time decision making. I'm also interested in applications of optimization to machine learning, cutting and packing problems, computational optimization, and modeling languages.
Here are a few things I've done lately.