James P. Fairbanks, Ph.D.

Assistant Professor

Bio

James Fairbanks, Ph.D., earned his B.S. in Mathematics at the University of Florida and his Ph.D at the Georgia Institute of Technology in Computational Science and Engineering. He studied under the supervision of Professor David A. Bader, while supported by the National Defense Science and Engineering Graduate (NDSEG) Fellowship.

He then worked at the Georgia Tech Research Institute on Data Analysis and High Performance Computing as applied to scientific computing and data science problems in healthcare. social science, epidemiology, biology, and physics problems. His work focuses on using programming language theory and algebraic techniques for designing and developing large scale software for technical computing problems.

Primary Research Area

Computational Mathematics

Research Areas

Concurrency, Parallelism and High-Performance Computing, Database, Data Science and Informatics, Scientific Computing, Applied Category Theory, Mathematical Modeling, Combinatorial Algorithms

Education

Ph.D. Computational Science & Engineering, 2016, Georgia Institute of Technology
B.S. Mathematics, 2012, University of Florida

Research Interests

Programming Languages, Scientific Computing and Data Science, Graph Algorithms & Analytics, and Numerical Methods

Publications

Google Scholar Profile: https://scholar.google.com/citations?hl=en&user=4-y38vkAAAAJ

An Algebraic Framework for Structured Epidemic Modeling
Sophie Libkind, Andrew Baas, Micah Halter, Evan Patterson, James Fairbanks, The Royal Society Philosophical Transactions A, (to appear)
https://arxiv.org/abs/2203.16345

Categorical Data Structures for Technical Computing
Evan Patterson, Owen Lynch, James Fairbanks, Compositionality 2022 (to appear)
https://arxiv.org/abs/2106.04703

Operadic Modeling of Dynamical Systems: Mathematics and Computation
Sophie Libkind, Andrew Baas, Evan Patterson, James Fairbanks, Applied Category Theory 2021,
https://arxiv.org/abs/2105.12282

Awards & Distinctions

News