Nicholas D. Haynes

Office: 
3539 FCIEMAS
Phone: 
(414) 573-5023

Details

Biography:

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.

Education:
MS - University of Dayton
BS - University of Dayton