Mathematical Modeling PhD 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

headshot of Alberto Alonso
Alberto Alonso (2021)


Cameron Bundy headshot
Cameron Bundy (2022)


headshot of Meghan Childs
Meghan Childs (2020)
COVID-19 Modeling with Model-Data Fusion


headshot of Karl Daningburg
Karl Daningburg (2022)
Astrophysical Surrogate Modeling


headshot of Kim Dautel
Kimberly Dautel (2018)
Infectious Disease Modeling


headshot of Carolina Estevez Loza
Carolina Estevez Loza (2022)


headshot of Mobina Ghorbaninejad
Mobina Ghorbaninejad
Biomechanical Imaging
Google Scholar


headshot of Adam Giammarese
Adam Giammarese (2021)
Data-Driven Complex Systems


headshot of Zijia Gong
Zi-Jia Gong (2020)
Machine Learning Theory and Dynamical Systems


headshot of Ben Grande
Guillermo Benjamín Grande (2021)
Computational neuroscience


headshot of Diksha Gunputh
Narshini Gunputh (2020)
Mathematical Biology


Rachel Hawks
Rachel Hawks (2019)
Biomedical Mathematics


headshot of Daniel Hobbs
Daniel Hobbs (2022)


headshot of Vedat Kurtay
Vedat Kurtay (2021)
Mathematical Biology


headshot of Jason LaRuez
Jason LaRuez (2021)
Data-Driven Modeling & Network Science


headshot of Trevor Lax
Trevor Lax (2020)
Equation-Free Modeling
of Complex Systems


Pancy Lwin
Pancy Lwin (2017)
Statistical Mechanics in Biological Systems


headshot of Adoulay Maiga
Abdoulaye Maiga (2020)
Biomedical Mathematics especially Cancer Research, Epidemiology, Optimal Control Theory, Ecology, and Stochastic Processes


headshot of Chloe Malinowski
Chloe Malinowski (2022)
Numerical Relativity


Jenna McDanold
Jenna McDanold (2018)
Prescribed and Wildfire Behavior Modeling


Lauren Melcher
Lauren Melcher (2018)
Modeling Dynamic Assembly of Colloidal Networks


headshot of Daniel Mortenson
Daniel Mortenson (2022)
Spiking Neural Networks for UAVs


Nastaran Naghshineh headshot
Nastaran Naghshineh (2019)
Fluid Dynamics of Liquid Films


headshot of Jordana Obrien
Jordana O’Brien (2017)
Computational Fluid Dynamics, Pediatric Lung Modeling, and Agent-Based Modeling


headshot of Cade Reinberger
Cade Reinberger (2023)
Fluid Dynamics


headshot of Rhiannan Reuf
Rhiannan Ruef (2020)
Modeling Spiral Wave Dynamics


headshot of Justin Sostre
Justin Sostre (2021)
Machine Learning Theory


headshot of Riley Supple
Riley Supple (2021)
Mathematical and Computational Models for Biological Systems


headshot of Bridget Torsey
Bridget Torsey (2017)
Pharmacokinetics / Pharmacodynamics Modeling (PK/PD)


Yidan Yang headshot
Yidan Yang (2019)
Stochastic Partial Differential Equations, Applied Inverse Problems


Summer 2022
Colin Huber
Colin Huber
Analysis of growth & decay in neutrally stable flows


Summer 2022
Alejandro NietoRamos
Alejandro Nieto Ramos
Bayesian inference and prediction in cardiac electrophysiology models with an application to representing variability


Fall 2021
Juliette Daily
Juliette Daily
Mathematically Modeling Plastic Pollution in the Great Lakes (Great Lakes)


Spring 2021
headshot of Nicole Rosato
Nicole Rosato
Improvements and Analysis of Challenging Numerical Simulations of Binary Black Holes