Dr. Galyna Livshyts

Associate Professor

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Biography

Galyna Livshyts is an Associate Professor in the Department of Mathematics at the Georgia Institute of Technology. She completed her Ph.D. at Kent State University in 2015, under the supervision of Artem Zvavitch. Afterward, she was a postdoctoral scholar in the MSRI program on Geometric Functional Analysis in Fall 2017, where she was mentored by Boaz Klartag. Her research focuses on Asymptotic Analysis and Convexity, covering areas such as High-dimensional Probability, Functional inequalities related to convexity principles, Geometric Analysis, Random matrix theory, and Harmonic Analysis. In addition to her research, she has designed and taught graduate-level courses on Concentration Measure Phenomena in Convexity and High-Dimensional Probability. She has received support for her research from the NSF-BSF and is currently working on several collaborative projects. Livshyts has also actively engaged in mentoring graduate students and organizing workshops in her field, contributing to various academic communities.

Research Interests

Experience

Associate Professor

2017-01-01 — Present

Georgia Institute of Technology • Atlanta, GA

Conducting research and teaching courses in mathematics, focusing on high-dimensional probability and convexity.

Courses

High-Dimensional Probability Concentration Measure Phenomena in Convexity Stochastic Calculus II Differential Equations Putnam Preparation Introduction to Probability and Statistics Applied Combinatorics

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.