Mathematical Modeling Ph.D. Students
Graduates of RIT’s mathematical modeling Ph.D. program gain the expertise to apply modeling tools across diverse fields, contribute innovative solutions to complex interdisciplinary problems, and communicate effectively with domain experts.
Ph.D. Students
Youssof Abdullah (2023)
Mathematical Biology & Complex System
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Elizabeth Adamson (2025)
Mustafain Ali (2023)
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Alberto Alonso (2021)
Mathematical Biology
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Luca Barone (2025)
Michael Bennett (2023)
Uncertainty Quantification
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Samiksha Bhagat (2024)
Tracy Bokor (2025)
Katherine Clemens (2024)
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Tess Collins (2023)
Gargi Dabli (2024)
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Kyla Devlin (2025)
Ava Dreher (2023)
Mathematical Biology
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Carolina Estevez Loza (2022)
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Detagnon Gbaguidi (2025)
Mobina Ghorbaninejad
(2022)
Biomechanical Imaging
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Martha Gomez (2025)
Zi-Jia Gong (2020)
- Stochastic analysis
- Inverse problems
- Optimization and Calculus of variation
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Narshini Gunputh (2020)
Mathematical Biology
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Joshua Iosevich (2025)
Michael Kostrna (2025)
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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Geoffrey Ngeru (2024)
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Addison Powell (2025)
Neha Rajtiya (2024)
Email | LinkedIn | Google Scholar
Emily Ramos (2025)
Rebecca Rodrigues (2023)
Lexie Shreeve (2023)
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Ziyi Su (2023)
Graduates
Summer 2025
Adam Giammarese (2021)
Data-Driven Complex Systems
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Spring 2025
Meghan Childs (2020)
Data-informed Stochastic Modeling of Disease Spread
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Fall 2024
Jordana O’Brien (2017)
Computational Fluid Dynamics, Pediatric Lung Modeling, and Agent-Based Modeling
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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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