Email address: t.hanks@ufl.edu
Office: MAE 206
My name is Tyler Hanks, and I am a computer science Ph.D. candidate at the University of Florida. I work as a graduate research assistant, supported by a Graduate Research Fellowship from the National Science Foundation, in the GATAS Lab led by Professor James Fairbanks. My research goal is to make it easier for engineers to specify and solve complex optimization, learning, and control problems and develop end-to-end distributed learning and control pipelines. To achieve this goal, my research primarily focuses on applying category theory and sheaf theory to develop novel frameworks and algorithms for distributed optimization, machine learning, and optimal control. Check out my research projects!
Formalizing how optimization problems compose and solution algorithms to exploit compositional structure.
Developing algorithms and applications for homological programming.
Building complex control problems from simpler pieces and optimal control of coupled systems.
Exploration and rewriting algorithms for general classes of models including neural networks, relational databases, and ODE systems.