Current/Former Students and Postdocs

Undergraduate Researchers:

  • Nathan Vaughn (graduated May 2015, currently a graduate student at University of Michigan) – Bifurcations in Thin-Film Traveling Waves – Resulting in Publication “A numerical study of traveling waves for a model of thin films in cylindrical domains” 
  • Anya Katsevich (graduated May 2017,  NSF postdoc at MIT) – Honors Thesis on “The hydrodynamic limit of a crystal surface jump diffusion with Metropolis-type rates”
    Metropolis rates in crystal evolution problems and spin systems, coarse graining, numerics and convergence. Results now partially contained in this publication.
  • Alan Luner (graduated May 2018, now a graduate student in Applied Math at Johns Hopkins) – Working on using Finite Element solvers to understand properties of fluid flow in different geometries and to construct nonlinear solutions to problems related to Density Functional Theory.
  • Isabel Bors (graduated May 2020) – Behavior of eigenfunctions under spectral flow-type perturbations.  Honors Thesis resulted in a joint publication.
  • Rebecca Olson (Graduated May 2020), Alex McEntarffer (Graduated May 2021),  Nifu Dan (expected Graduation May 2023), and Zhihao Chen (expected Graduation May 2023) – Markov Chain Monte Carlo simulations on graph models for optical scattering devices.
  • Marichi Gupta (graduated December 2021, now a consultant with McKinsey) – Honors Thesis on nodal set crossings in eigenfunctions and their stability under domain deformation.  Resulting in a joint publication.
  • Stepan Malkov (graduated May 2022, now a grad student at UCLA) – Honors Thesis on existence of stationary states in Dirac models motivated by topological physics lattice models.
  • Laura Hinson (graduated May 2022, now headed to Law School at UVA) – Reading on spectral flows and numerically computing nodal deficiency of eigenfunctions on the disk.
  • Joseph Stellman (expected graduation May 2024) – Transmission/Reflection coefficients for truncated periodic potentials
  • Andrew Sun (expected graduation May 2024 from Duke, co-advised with Jonathan Mattingly and Greg Herschlag) – Mixing and spectral analysis of transition state models with applications in quantifying Gerrymandering

Graduate Students:

  • Matt Harris (Master’s student, graduated May 2013, currently a consultant at Deloitte) – Master’s Thesis on “Numerically Computing Bound States” – Note, techniques are all correct and applicable, but the geometric potential in H^2 takes an attractive character in the simulations and it should take a repulsive character, which leads an incorrect prediction in that case as explained clearly in recent work with Borthwick, Donninger and Lenzmann.
  • David Webb (Ph.D. student, graduated August 2017, now an instructor at Shorter University) – “Nonlinear Dirac Equations”
  • Quentin Robinson (Ph.D. student, graduated August 2018, now at Institute for Defense  Analyses) – Periodic Capillary Waves in Fluids, Forced KdV models, Experiments and Full Euler simulation  “Surface Disturbances Generated by Fluid Flow Past an Obstacle or Over Topography as Predicted by the Korteweg-De Vries and the Euler Equations”
  • Yuan Gao (Ph.D. student, graduated May 2019, co-advised with Katie Newhall, now at Wells Fargo) – Metropolis dynamics of random spin systems.  “Metropolis dynamics of random spin systems”
  • Sterling Swygert (Ph.D. student, graduated May 2019, now at Pearson) – “Analysis of Thin Films Related to Flows in Cylindrical Geometries”
  • Dmitro Golovanich (Ph.D. student, graduated May 2021, now an Analyst at Ramirez Asset Management) – Potential perturbations of non-self-adjoint problems related to stability theory and NLS dynamics with potentials.
  • Wesley Hamilton (Ph.D. student, graduated May 2021, now at MathWorks) – Data analysis and spectral properties of graph Laplacians.
  • Grace Conte (Ph.D. student, graduated August 2022, now at Johns Hopkins APL) – Adjoint continuation on quantum graphs.
  • Gary Moon (Ph.D. student, graduated May 2022, now a postdoc at University of Oklahoma) – Well-posedness for vortex sheet water wave models in the presence of geometry, stabilization/control of water waves, numerical algorithms for water waves.
  • Ben Trigsted (Master’s student, graduated May 2022, now with Keyrus Consulting) – Large data well-posedness and singularity formation in degenerate diffusion models in material science.
  • Andrew Lyons (Ph.D. student, expected graduation 2025) – Properties of nodal sets and nodal domains under perturbation

Postdocs:

  • Graham Cox – (Funded by Chris Jones, now at Memorial University in Newfoundland) Maslov Index in high dimensional PDE, Dirichlet-to-Neumann maps.
  • Tom Beck (Now at Fordham University) – Properties of low energy eigenfunctions.
  • Zach Boyd  – (Funded by Peter Mucha, now at BYU) – Graph Theory, Spectral Clustering, Markov Chains
  • Jian Wang – (Current, Mentored by Hans Christianson) – Damped fractional wave equations and applications to water waves