Professor Goldsztein is originally from Buenos Aires, Argentina. In 1992 he received his undergraduate degree in mathematics from the University of Buenos Aires and in 1997 a Ph.D. in mathematics from MIT. During the three following years (1997-2000), he was a postdoctoral scholar and lecturer in applied mathematics at CalTech. Since 2000, he has been a faculty member of the School of Mathematics of Georgia Tech, where he is now a full professor. Professor Goldsztein enjoys applying mathematics that can be used in other other fields of science such as computational biology, machine learning, and the intersection between math and physics. Machine learning is among his areas of expertise.

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.

Leonid Abramowich Bunimovich (born August 1, 1947) is a Soviet and American mathematician, who made fundamental contributions to the theory of dynamical systems, statistical physics, and various applications.

 Bunimovich received his bachelor's degree in 1967, master's degree in 1969, and Ph.D. in 1973 from the University of Moscow. His masters and Ph.D. thesis advisor was Yakov G. Sinai. 

Bunimovich is a Regents' Professor of mathematics at the Georgia Institute of Technology, a Fellow of the Institute of Physics, and was awarded Humboldt Prize in Physics.