CV
Education
- Ph.D in Mathematics, Temple University, 2026 (expected)
- M.S. in Mathematics, Drexel University, 2019
- B.S. in Mathematics, Drexel University, 2019
RESEARCH
- Research Interests: Applied Mathematics; ODE and PDE models in biology; emergent patterns from agent-based models; Invasive species.
- January 2025-June 2025: National Zoo and Conservation Biology Institute (NZCBI) Fellowship
- Multi-agent Mathematical models for the movement of bison.
- Supervisor: Hila Shamon
- May 2022-Present: Graduate Research Assistant
- Temple University
- Mathematical models and numerical methods for modeling the spread and growth of the invasive spotted lanternfly. Research funding supported by the US Department of Agriculture and PA Department of Agriculture.
- Extending and analyzing classical car following models to higher dimensions with the addition of swarming dynamics. Research funding supported by DAC.
- Supervisor: Benjamin Seibold
- June to September 2019: Undergraduate Research Assistant
- Drexel University
- Explored the stability of the Kuramoto model and the effect of adaptive noise. Looked at several different fractal structures of coupled oscillators and how stability arose in the system and wrote a code library for anyone to use for future projects on Chimera States
- Supervisor: Georgi Medvedev and Gideon Simpson
- April to September 2018: Undergraduate Research Assistant
- Drexel University
- Researched the well-posedness of 5th-order partial linear differential equations and the conditions on their coefficients. Used Julia to make numerical models of these solutions in an attempt to see the relation between the conditions.
- Supervisor: David Ambrose
Work experience
- April to September 2017: Clinical Data Analyst
- Helped create metrics for measuring the quality of care for 1,000’s of patients
- Queried over 2,000 SQL files from GitHub using API to improve the structure of our database
- Used R and regular expressions to create code to parse a variety of different text structures
Skills
- Numerical Methods for Mathematical Models including ODE, PDE and agent-based models
- Programming Languages: MATLAB, R, SQL,Julia, Python, C++
- Tools: LaTex, Qlikview, GitHub, API, RegEx
- Software: Microsoft Office Suite, Photoshop, Adobe Premiere
Publications
Talks
Agent-Based Modeling of Collective Foraging and Movement in Bison Herds
Talk at SIAM New York-New Jersey-Pennsylvania Section Conference 2025, State College, PA, USA
Optimal Routing of Multi-Agent Swarms Via Low-Dimensional Approximation
Talk at SIAM Conference on Applications of Dynamical Systems, Denver, CO, USA
Modeling the Spread of Spotted Lanternfly in Vineyards and Across Multiple Scales
Talk at SIAM New York-New Jersey-Pennsylvania Section Conference 2024, Rochester, NY, USA
Mathematical Framework for Modeling the Movement of Adult Spotted Lanternfly into Vineyards and Application for Optimal Control
Talk at Spotted Lanternfly Research and Technical Development Meeting, Wooster, OH, USA
Mathematical Models for the Spread of Spotted Lanternfly Across Multiple Scales
Talk at SIAM Conference on the Life Science, Portland, OR, USA
Bridging the Gap Between 1D Car-Following and 2D Swarming
Talk at SIAM New York-New Jersey-Pennsylvania Section Conference 2023, Newark, NJ, USA
Teaching
Services
- Co-Organized Mini Symposium on Collective Behavior for Biologically Inspired and Social Systems at SIAM-NNP Conference 2025
- Co-organizer of Local Mathematical Contest in Modeling (MCM), Temple University, 2022-2023
Mentorship
- Fatma Seker, Temple University Undergraduate researcher 2024-present; Explored the effects of vineyard and landscape geometry on the invasion of Spotted lanternfly and worked to digitize specific vineyards from satellite images and data.