Marvyn Bailly

PhD, Applied Mathematics & Scientific Computation (GPA 3.89)

MS, Applied Mathematics, Numerical Methods (GPA 3.84)

BS, Mathematics, Applied & Computational (GPA 3.96)

Computational Turbulence Lab, University of Maryland

Advisor: Dr. Johan Larsson

• Applied numerical optimization, discrete differential geometry, and numerical methods for PDEs to generate structured meshes with desired properties.
• Developed these methods into documented, tested libraries, including a graphical interface for non-experts, cutting setup from days of manual work to hours.
• Presented mathematical methods to a multidisciplinary team, translating simulation requirements into concrete design choices.

Atmospheric & Oceanic Science, University of Maryland

Advisor: Dr. Jacob Wenegrat

• Extended a published ocean-convection study to a more realistic model built in Julia, running large eddy simulations on an HPC cluster.

Remote, for Neill Warrington (MIT) & Stephen Sorokanich (Air Force Research Laboratory)

• Built Quantum Circuit Builder (JavaScript), a web app that turns superconducting circuit diagrams into Hamiltonian parameters for lattice field theory, replacing a derivation the clients previously did by hand.
• Delivered a drag-and-drop circuit editor, automatic Hamiltonian parameter extraction, and export for the clients' lattice simulation code, deployed as a live web app.

University of Maryland & University of Washington

• Led weekly discussion sections in graduate and undergraduate courses in data science, probability, and calculus.

Girls Talk Math, University of Maryland

• Co-directed the camp: ran program operations, hired undergraduate leaders, and coordinated industry outreach.

University of Maryland

• Co-organized and led the weekly Joint AMSC, Math & Stat Student Seminar (JAMS).