Branden Stone is a graduate of the University of Kansas in 2012 with a doctorate in mathematics. Stone specialized in commutative and homological Algebra, authoring several publications in peer-reviewed journals. Before joining GTRI, Stone was a Senior Data Scientist at The Boeing Company (Sept 2021—Oct 2022) and a Research Scientist III at Assured Information Security in Rome, NY (June 2020—Sept 2021). As an academic, he held positions at Bard College, Adelphi University, and Hamilton College from 2012—2020 where he advised research students and taught Mathematics, Computer Science, and Statistics across the curriculum. Currently, Stone is involved in machine learning research for cybersecurity in areas such as logic tensor networks, malware classification, and binary similarity via program dependency graphs.

Hannah Choi is an Assistant Professor in the School of Mathematics at Georgia Tech. Her research focuses on mathematical approaches to neuroscience, with primary interests in linking structures, dynamics, and computation in data-driven brain networks at multiple scales. Before coming to Georgia Tech, she was a postdoctoral fellow at the University of Washington and also a visiting scientist at the Allen Institute for Brain Science, and spent one semester at the Simons Institute for the Theory of Computing at the University of California, Berkeley as a Patrick J McGovern Research Fellow. She received her Ph.D. in Applied Mathematics from Northwestern University and her BA in Applied Mathematics from the University of California, Berkeley.