Programming and quantitative modeling


Software and methods for modeling complex systems
Simulations
Numerical simulation, stochastic systems, enhanced sampling, free energy methods.
Data & ML
Machine learning, model fitting, data pipelines, quantitative visualization.
Software
Python/C++, research software, reproducible workflows, automation, data tooling.
Selected work

Machine Learning for Physical Systems
Neural network potentials that replace expensive calculations with fast, validated surrogate models.

Signal Extraction from Simulation
Dynamical spectra computed from simulation trajectories and transformed into interpretable observables.

Complex-System Simulation
First-principles dynamics for nonlinear processes in noisy, high-dimensional environments.

Statistical Modeling
Free energy calculations that connect sampled distributions to quantitative predictions.
Open to programming, tech, quantitative research, data science, and scientific software roles
If you're hiring for programming, research engineering, quantitative modeling, data science, or scientific software, view my CV or publications, or reach out directly by email.