Research

Models built at the interface of math, physics, and biology.

I develop differential-equation and agent-based models for biosystems and materials that predict the emergence of collective behavior, and the dramatic changes in effective properties it produces. Analysis and simulation do the rest.

External funding
2023–2026 · USDA-NIFA

$498,178

Poultry food-safety modeling. Co-PI with D. Munther (PI) and C. Kothapalli.

2023–2027 · NSF REU

$365,000

Senior Personnel. Undergraduate research in the mathematical sciences.

2017–present · OSC

Ohio Supercomputer

Compute allocation (PI) for large-scale agent-based simulation.

2017 · PHAC

Grant #582090

Public Health Agency of Canada. Co-PI with D. Munther.

Active threads
Priority · new methods

Equation learning with PINNs & BINNs

Agent-based models capture mechanism, but they don't produce a governing equation you can analyze. I'm building physics-informed and biology-informed neural networks that recover the continuum PDE hiding inside an ABM. The concrete goal is a repeatable pipeline: run the model, generate data, train the network, discover the equation, validate against the simulation. This is the foundation for the group's next papers and an NSF Applied Mathematics proposal on the ABM–BINN connection.

Collective motion

Active biosystems: bacteria, swarms, and social insects

Effective viscosity. A suspension of swimming bacteria can have its viscosity dramatically reduced by long-range hydrodynamic interactions intrinsic to self-locomotion. A tractable model reproduces the reduction seen in Bacillus subtilis experiments, ties it to the onset of large-scale collective motion, and yields an explicit asymptotic formula. The reduction appears only at low concentration; push further and viscosity climbs again.

Global solvability. For a coupled PDE/ODE system of point-force dipoles under planar shear (imposed through Lees–Edwards quasi-periodic boundary conditions), I proved existence and uniqueness of solutions for all time, then used it to define the Liouville equation for the configuration density and the average bulk stress underlying the effective viscosity. Micro interactions determine macro properties.

Social insect behavior. Ant foraging and raiding modeled from first principles: different equations of motion for outbound foragers and returning ants, coupled to a reaction–diffusion PDE for pheromone. The model self-organizes into three lanes, two outbound and one central return lane, matching experiment. A continuum PDE for ant density is in progress.

Swimming bacteria modeled as pusher and puller force dipoles
Pushers & pullers. Bacteria as force dipoles with size and shape.
Plot of effective viscosity decreasing then increasing with concentration
Viscosity collapse. Reduction at low concentration, rise beyond it.
Lees-Edwards quasi-periodic boundary conditions on a bacterial suspension
Lees–Edwards BCs. Planar shear on a representative volume.
Vortex structure in collective bacterial flow
Collective flow. Large-scale vortices from local interactions.
Simulation of ants foraging at a food source with three-lane traffic
Three-lane foraging. Outbound foragers on the outside, returning ants down the center, matching experiment.
Active matter

Self-propelled particles and confinement

Beyond living swimmers, synthetic active systems raise their own questions. With collaborators I study how self-propelled rods accumulate at the walls of microchannels, where the geometry of the channel, down to the shape of an elliptical cross-section, controls where active particles concentrate. Related work models self-propelled Janus colloids: how added polymer and charged nanoparticles change their clustering and quench their propulsion. The through-line is the same as the biological work, interactions and confinement producing structure that no single particle contains.

Food safety

Bacterial contamination in poultry processing

Individual-carcass and spatial models track Campylobacter and E. coli through scalding and chilling, including the effect of water reuse on cross-contamination and pH-dependent thermal inactivation. This is the USDA-NIFA-funded thread, built alongside experimentalists and public-health partners, and it feeds directly into processing-line risk assessment.

Mathematical biology

Cells, consortia, and the clinic

Agent-based modeling of nuclear chromosome ensembles identifies determinants of homolog pairing during meiosis. Spatial models of synthetic microbial consortia explain heterogeneity in engineered systems. Clinical collaborations produced a validated model estimating postoperative urine output in children after cardiac surgery, and fluid–structure interaction models of renal tubules and primary cilia.

Materials science

Liquid crystals, superconductivity, and graphene

Foam coarsening on a sphere. An effective von Neumann relation on the sphere, extending the classic 2D law where a cell's area change depends only on its number of sides. On the sphere there are no stationary states, which changes the long-time behavior entirely.

Ginzburg–Landau superconductivity. Quantifying how randomness in columnar-defect locations reshapes the vortex distribution. As randomness grows the interface becomes more fractal and the critical field for hole vortices drops, rewriting the field–temperature phase diagram.

Graphene deformation. A coupled-ODE model for a graphene sheet suspended above a substrate by van der Waals forces, with buckling bifurcations analyzed by matched asymptotics. Two publications and a master's thesis.

Foam coarsening on a sphere simulation
Foam on a sphere. An effective von Neumann law in 3D.
Effect of random hole placement on Ginzburg-Landau vortex geometry
Vortex randomness. Defect disorder reshapes the phase diagram.
Graphene sheet deforming above a rigid substrate under load
Graphene buckling. Sheet on substrate via van der Waals forces.
Phase diagram of buckling stability regions for graphene
Stability regions. Pushing vs pulling bifurcation mechanisms.
In the press

Work that traveled.

CSU News

New synthetic biology paper with chemistry alum Ryan Godin

Coverage of the spatial-consortia modeling work.

FSU News

"Chatterboxes": a new model of how bacteria communicate

Collaboration featured by Florida State University.

Phys. Rev. E

Kaleidoscope selection, best aesthetic images

Foam-coarsening-on-a-sphere simulation, 2016.

Physical Biology

Featured article, homepage

Hydrodynamic interactions in bacterial chemotaxis, 2019–2020.

Want the full record?

Every paper, from the graphene work through the newest food-safety and foraging models.

Browse 47 publications