I'm an experimental physicist interested in the intersection of complex networks, machine learning, and the physics of information. I study how highly interconnected systems are able to store, transfer, and process information.
Concretely, I build networks out of digital electronics on re-programmable integrated circuits called a field-programmable gate arrays (FPGAs). FPGAs are an invaluable tool for experimental network science because they allow us to design a network using a software environment but realize the circuit in physical hardware. I can then use these networks to perform a variety of fundamental and applied experiments, including teaching them to perform classification and regression tasks using state-of-the-art machine learning techniques.
See my personal website for an up-to-date list of my current projects.