Mathematical Modeling Ph.D. Students
RIT graduates of the mathematical modeling Ph.D. will have the expertise not only to use the tools of mathematical modeling in various application settings but also to contribute in creative and innovative ways to the solution of complex interdisciplinary problems and to communicate effectively with domain experts in various fields.
Ph.D. Students
Youssof Abdullah (2023)
Email
Mustafain Ali (2023)
Email
Alberto Alonso (2021)
Mathematical Biology
Email
Michael Bennett (2023)
Uncertainty Quantification
Email
Samiksha Bhagat (2024)
Meghan Childs (2020)
Data-informed Stochastic Modeling of Disease Spread
Email
Katherine Clemens (2024)
Email
Tess Collins (2023)
Gargi Dabli (2024)
Email
Ava Dreher (2023)
Mathematical Biology
Email
Carolina Estevez Loza (2022)
Email
Mobina Ghorbaninejad
(2022)
Biomechanical Imaging
Email | Google Scholar
Adam Giammarese (2021)
Data-Driven Complex Systems
Email
Zi-Jia Gong (2020)
Machine Learning and Dynamical Systems
Email
Narshini Gunputh (2020)
Mathematical Biology
Email
Garrison Koch (2023)
Graph Theory
Email
Jason LaRuez (2021)
Data-Driven Modeling & Network Science
Email
Trevor Lax (2020)
Equation-Free Modeling
of Complex Systems
Email
Abdoulaye Maiga (2020)
Biomedical Mathematics especially Cancer Research, Epidemiology, Optimal Control Theory, Ecology, and Stochastic Processes
Email
Geoffrey Ngeru (2024)
Email
Jordana O’Brien (2017)
Computational Fluid Dynamics, Pediatric Lung Modeling, and Agent-Based Modeling
Email
Neha Rajtiya (2024)
Email | LinkedIn | Google Scholar
Rebecca Rodrigues (2023)
Lexie Shreeve (2023)
Email
Ziyi Su (2023)
Graduates
Summer 2024
Rachel Hawks (2019)
Biomedical Mathematics
Email
Summer 2024
Jenna McDanold (2018)
Prescribed and Wildfire Behavior Modeling
Email
Fall 2023
Lauren Melcher (2018)
Modeling Dynamic Assembly of Colloidal Networks
Email
Summer 2023
Kimberly Dautel (2018)
Infectious Disease Modeling
Email
Summer 2022
Colin Huber
Analysis of growth & decay in neutrally stable flows
Email
Summer 2022
Alejandro Nieto Ramos
Bayesian inference and prediction in cardiac electrophysiology models with an application to representing variability
Email
Fall 2021
Juliette Daily
Mathematically Modeling Plastic Pollution in the Great Lakes (Great Lakes)
Email
Spring 2021
Nicole Rosato
Improvements and Analysis of Challenging Numerical Simulations of Binary Black Holes
Email