Ph.D. Students
Farshid Abadizaman
Farshid Abadizaman is an Applied Mathematics Ph.D. student at Georgetown. In the Summer of 2022, he obtained a Master’s in Applied Statistics from New Mexico State University under the direction of Dr. Christopher Sroka, where he conducted research on Bayesian hierarchical algorithms for high-dimensional health data. He also holds a Master’s in Political Science (with highest distinction) from the University of Tehran, where he worked on Russian Political Economy. His research interests include the following: Probability and Stochastic Processes, Signal Processing, and Partial Differential Equations (PDEs).
Nicholas Barone
Nicholas Barone graduated from Loyola University Chicago with his M.S. in Mathematics and his B.S. in Mathematics and Computer Science. His research interest areas are optimization, dynamic systems, and their intersection with computer science topics (e.g., graph theory, cryptography, and optimization in programs/algorithms/learning models).
Xilin Chen
Xilin Chen graduated from the College of the Holy Cross with a B.S. in Mathematics, where he completed a project in applied topological data analysis. He later earned an M.S. degree in Mathematics and Statistics from Georgetown University. His research interests span partial differential equations (PDEs), analysis, and related fields. He also enjoys exploring topics in quantum mechanics and quantum computing. Outside of academics, he enjoys weight lifting, playing basketball, and competing in Valorant.
Yu Shu Chen
Yu Chen graduated from Louisiana State University in Shreveport with her B.S. in Mathematics and Physics along with a minor in English. Her senior year paper was on real analysis and focused on the construction and behavior of real numbers. Her research interests are in numerical analysis, probability theory, quantitative finance, and differential equations.
Urshila Choubal
Urshila Choubal obtained her B.S. in Applied Mathematics from Emory University in May 2022, along with a minor in Computer Science. Her senior year thesis focused on graph theory to analyze recommendation systems used in social media applications. She is particularly interested in understanding mathematics from an interdisciplinary perspective. Urshila’s research interests include numerical analysis, optimization, graph theory, and differential equations. Besides mathematics, she enjoys dancing, debating, and watching documentaries.
Ojonugwa David
Ojonugwa David obtained his B.S. in Mathematics in 2021 from Federal University Lokoja, Nigeria with a first class honor. His undergraduate research was focused on the effects of Stokes drag force on the equilibrium points of Restricted three-body problem. He also attended the University of L’Aquila in Italy from 2021 to 2023 where he obtained an M1 in mathematical engineering. In the Summer of 2023, he started a PhD in Mathematics at West Virginia University but transferred to continue studying in the Applied Mathematics program at Georgetown University. His research interests focus on Dynamical System, modelling, control system and optimization.
Georgia Goering
Georgia Goering graduated from Stetson University in spring 2024 with a B.S. in Mathematics, a B.B.A. in Finance, and a minor in Sports Business. During her time at Stetson, she played lacrosse, participated in the Roland George Investment Program, and was involved with the Fellowship of Christian Athletes. Her senior research focused on ChatGPT-4’s advancements in solving Ordinary Differential Equations, reflecting her interest in interdisciplinary mathematics. Georgia plans to pursue a Ph.D. specializing in differential equations and optimization.
Zeiad Hassoun
Zeiad obtained a Bachelors of Mathematics (with highest distinction) from the University of Windsor, followed by a B.S. in Computer Science in 2021. He has served as an instructor in the Data Analytics department at St. Clair College in Windsor, Ontario for 2 years.
Xin Li
Xin Li is a graduate of Towson University where she received a B.S. degree in Actuarial Science and Risk Management. She also holds a M.S. degree in Statistics from Georgetown University. Her previous and current research has included projects in Sampling, Modeling, and Data Mining.
Kale Menchhofer
Kale Menchhofer attained a Master of Science in Mathematics in 2022 and a Bachelor of Science in Mathematics in 2021 from Purdue University Fort Wayne. As an undergraduate, Kale worked on several epidemiological modeling research projects, most notably, having dealt with models that simulated COVID-19 transmission amongst age groups. Kale’s research interests include partial differential equations, complex variables, and optimization.