Alexandria Volkening
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
Publications
46
Citations
265
Est. group size
—
Recurring co-author estimate
Active years
16
Publishing since 2011
Alexandria Volkening develops mathematical and computational models to study how patterns and structures form in biological and social systems, such as skin pigment patterns in zebrafish, cell movement and organization, and even the dynamics of election polling. A key part of this work involves using tools like topological data analysis (a way of quantifying shapes and patterns in data) and agent-based simulations to compare models with real data and to learn underlying equations that describe biological processes.
Publication output has been steady to slightly increasing over the last five years, averaging about 4.6 papers per year after an earlier peak in 2020.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- How Time and Pollster History Affect U.S. Election Forecasts under a Compartmental Modeling Approach
SIAM Journal on Applied Dynamical Systems · 2026
- Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning for biological systems
PLoS Computational Biology · 2026
- Multi-objective Bayesian inference in an agent-based model of zebrafish patterns via topological data analysis
arXiv (Cornell University) · 2026
- Multi-objective Bayesian inference in an agent-based model of zebrafish patterns via topological data analysis
arXiv (Cornell University) · 2026
- Methods for Quantifying Self-Organization in Biology: A Forward-Looking Survey and Tutorial
2025
- A primer on data-driven modeling \@ifstar{}of complex social systems
Proceedings of symposia in applied mathematics · 2025
- Quantifying topological features and irregularities in zebrafish patterns using the sweeping-plane filtration
arXiv (Cornell University) · 2025
- Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL)
arXiv (Cornell University) · 2025
- Linking discrete and continuous models of cell birth and migration
Royal Society Open Science · 2024
- Author response for "Linking discrete and continuous models of cell birth and migration"
2024
- Author response for "Linking discrete and continuous models of cell birth and migration"
2024
- How time and pollster history affect U.S. election forecasts under a compartmental modeling approach
arXiv (Cornell University) · 2024
- Topological data analysis of spatial patterning in heterogeneous cell populations: clustering and sorting with varying cell-cell adhesion
npj Systems Biology and Applications · 2023
- Quantifying Different Modeling Frameworks Using Topological Data Analysis: A Case Study with Zebrafish Patterns
SIAM Journal on Applied Dynamical Systems · 2023
- How do classroom-turnover times depend on lecture-hall size?
Mathematical Biosciences & Engineering · 2023
- arXiv (Cornell University)×12
- Figshare×9
- SIAM Journal on Applied Dynamical Systems×2
- Royal Society Open Science×2
- Nature Communications×1
- Heather R. Shive
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Maria Bondesson
Biochemistry, Genetics and Molecular Biology · Indiana University
- Dhvanit I. Shah
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Emily M. Teets
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Martin Haesemeyer
Biochemistry, Genetics and Molecular Biology · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile