Mathematical Modeling PhD Students
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)
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Mustafain Ali (2023)
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Alberto Alonso (2021)
Mathematical Biology
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Drishti Bansal (2024)
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Michael Bennett (2023)
Uncertainty Quantification
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Samiksha Bhagat (2024)
Meghan Childs (2020)
Data-informed Stochastic Modeling of Disease Spread
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Katherine Clemens (2024)
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Tess Collins (2023)
Gargi Dabli (2024)
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Ava Dreher (2023)
Mathematical Biology
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Carolina Estevez Loza (2022)
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Mobina Ghorbaninejad
(2022)
Biomechanical Imaging
Email | Google Scholar
Adam Giammarese (2021)
Data-Driven Complex Systems
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Zi-Jia Gong (2020)
Machine Learning and Dynamical Systems
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Narshini Gunputh (2020)
Mathematical Biology
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Garrison Koch (2023)
Graph Theory
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Jason LaRuez (2021)
Data-Driven Modeling & Network Science
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Trevor Lax (2020)
Equation-Free Modeling
of Complex Systems
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Abdoulaye Maiga (2020)
Biomedical Mathematics especially Cancer Research, Epidemiology, Optimal Control Theory, Ecology, and Stochastic Processes
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Geoffrey Ngeru (2024)
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Jordana O’Brien (2017)
Computational Fluid Dynamics, Pediatric Lung Modeling, and Agent-Based Modeling
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Neha Rajtiya (2024)
Email | LinkedIn | Google Scholar
Rebecca Rodrigues (2023)
Lexie Shreeve (2023)
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Ziyi Su (2023)
Graduates
Summer 2024
Rachel Hawks (2019)
Biomedical Mathematics
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Summer 2024
Jenna McDanold (2018)
Prescribed and Wildfire Behavior Modeling
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Fall 2023
Lauren Melcher (2018)
Modeling Dynamic Assembly of Colloidal Networks
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Summer 2023
Kimberly Dautel (2018)
Infectious Disease Modeling
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Summer 2022
Colin Huber
Analysis of growth & decay in neutrally stable flows
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Summer 2022
Alejandro Nieto Ramos
Bayesian inference and prediction in cardiac electrophysiology models with an application to representing variability
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Fall 2021
Juliette Daily
Mathematically Modeling Plastic Pollution in the Great Lakes (Great Lakes)
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Spring 2021
Nicole Rosato
Improvements and Analysis of Challenging Numerical Simulations of Binary Black Holes
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