Mayya Zhilova

Mayya Zhilova

Mayya Zhilova is an associate professor in the School of Mathematics at Georgia Tech and an affiliated member of the Machine Learning Center. She received her Ph.D. in statistics from the Humboldt University of Berlin in 2015. 

Her primary research interests lie in the areas of mathematical statistics, statistical learning theory, and uncertainty quantification, particularly in statistical inference for complex high-dimensional data, performance of resampling procedures for various classes of problems, functional estimation, and inference for misspecified models.

Galyna V. Livshyts

Galyna V. Livshyts

Galyna Livshyts completed her undergraduate studies in Kharkiv, Ukraine. She obtained her PhD from Kent State University in Ohio in 2015 under the supervision of Artem Zvavitch. Since 2015, Galyna has been an assistant professor at the School of Math, Georgia Institute of Technology. In Fall 2017, she was a postdoc at the MSRI program in Geometric Asymptotic Analysis and Applications at MSRI, Berkeley. Galyna is interested in High-dimensional Probability and Convexity, as well as Asymptotic Analysis and Random Matrix Theory.

Anton Leykin

Anton Leykin

Anton Leykin received the Ph.D. degree from the University of Minnesota, Twin Cities. He works in nonlinear algebra with a view towards algorithms and applications. A large part of his recent work concerns homotopy continuation methods, which includes both theory and implementation in Macaulay2 computer algebra system. He is a member of the ACM, AMS, and SIAM.

Guillermo Goldsztein

Guillermo Goldsztein

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 PhD 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.

Leonid Bunimovich

Leonid Bunimovich

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.

Rachel Kuske

Rachel Kuske

Rachel Ann Kuske is an American-Canadian applied mathematician and Professor and Chair of Mathematics at the Georgia Institute of Technology. 

Kuske received her Ph.D. in Applied Mathematics from Northwestern University in 1992. Her dissertation, Asymptotic Analysis of Random Wave Equations, was supervised by Bernard J. Matkowsky. From 1997 to 2002, she was assistant professor and then associate professor at the University of Minnesota.