Computational Biophysicist for Hire
HPC-grade molecular simulations and interpretable ML pipelines for docking, pathways, and protein–surface interactions. Strategic use of AI tools for speed without sacrificing rigor.
Proven record behind the expertise
Over a decade of work in computational biophysics and interdisciplinary collaborations has shaped my expertise. I have contributed to projects spanning protein modeling [1] and viral spike dynamics under varying conditions [2], always in close collaboration with experimentalists to ensure simulations align with biological reality. Active involvement in the labs of Dr. Yuefan Deng (computational science, HPC) and Dr. Miriam Rafailovich (materials science, experimental biophysics) at Stony Brook University strengthened my ability to connect theory, computation, and experiment.
Peer-reviewed publications, hands-on lab integration, and advanced HPC workflows now form the foundation of the expertise I provide to clients seeking cutting-edge computational solutions.
Fast facts
- Advanced MD workflows (NEB, SMD/CF-SMD, metadynamics, free-energy)
- Docking with sphere-based cavity mapping (sphgen) and automated scoring
- Custom hydrophobic/hydrophilic surface modeling and analysis
- HPC at scale + AI-accelerated development for rapid, rigorous delivery