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.

Education

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

Teaching Interests

Numerical Methods

Research Interests

Applied Category Theory, Scientific Computing and Data Science, Network Analysis, and Numerical Methods

Selected Publications

1. 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)
2. Categorical Data Structures for Technical Computing Evan Patterson, Owen Lynch, James Fairbanks, Compositionality 2022 (to appear)
3. Operadic Modeling of Dynamical Systems: Mathematics and Computation Sophie Libkind, Andrew Baas, Evan Patterson, James Fairbanks, Applied Category Theory 2021