One math problem at a time.
I work on problems at the intersection of scientific computing, numerical methods, and computational physics. My projects typically focus on building computational tools to analyze complex systems, often using Python and high-performance simulation frameworks.
- Computational physics
- Statistical mechanics
- Numerical methods
- Scientific computing
- Machine learning for physical systems
- Signal processing
- Structural change detection in molecular dynamics trajectories
- Integration of statistical hypothesis testing with structural descriptors
- Phase transition identification in atomistic simulations
- Free energy calculations and thermodynamic analysis
- Python
- Tensorflow
- Jupyter notebooks
- Scientific computing libraries (Numpy, Scipy, scikit-learn etc.)
- ASE
- HPC workflows