Summary
Wanling Song is a Principal Forward Deployed Engineer and computational chemist with ~10 years’ experience applying physics-based modelling, free-energy calculations, and ML to drug discovery across academia, biotech, and pharma. She has led design strategy at MSD, developed internal FEP and AI potency models, and contributed drug designs that advanced multiple projects. Wanling builds production-grade Python tooling and automation (including the widely adopted PyLipID package) to accelerate DMTA cycles and streamline virtual screening using Schrodinger APIs. Her work spans molecular simulation engines (GROMACS, OpenMM, Desmond), docking/FEP workflows, and generative/QSAR modelling, coupled with hands-on mentorship of students and CRO scientists. Based in Oxford, she combines deep biophysics insight from a PhD with practical engineering to translate cutting-edge computation into actionable medicinal chemistry decisions.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Pharmaceutical Sciences, Bachelor of Science - BS Pharmaceutical Sciences at Fudan University
Doctor of Philosophy - PhD Biophysics, Doctor of Philosophy - PhD Biophysics at Shanghai Institute of Materia Medica
Chinese, English