I led the computational drug-design effort in an NIH antiviral consortium targeting Ebola virus entry. Starting from experimental and predicted structures of the viral entry glycoprotein, I built and validated structural models of the target and ran structure-based virtual screening, docking, and pharmacophore analyses. I used molecular-dynamics-based free-energy calculations (relative and absolute binding free energies) to prioritize candidate inhibitors, and worked closely with medicinal and experimental chemists to translate predictions into synthesizable, testable molecules. The campaign advanced compounds to in vivo testing and contributed to a patent application.
Contribution to Project (2)
I led the construction and simulation of a virion-scale molecular-dynamics model of an HIV-1 particle comprising roughly 250 million atoms, run on a leadership-class exascale supercomputer. This required integrating heterogeneous structural data into a coherent all-atom model, building and equilibrating an enormous membrane–capsid–glycoprotein system, and managing large-scale HPC workflows and trajectory analysis. The work pushed the practical limits of biomolecular simulation scale and produced a physically realistic model of a whole enveloped virion.
Contribution to Project (3)
I built a fully glycosylated, all-atom structural model of a viral entry glycoprotein by integrating cryo-EM, X-ray, and complementary experimental data, then characterized its conformational dynamics and the role of its glycan shield through extensive molecular-dynamics simulation. This connected sparse, heterogeneous structural data into a complete and dynamic picture of an entry protein directly relevant to antiviral and vaccine design.
ai and computational biologyAntiviral drug designBioinformatics and Computational BiologyBiomolecular modellingBiophysical studies of molecular interactionbiophysicscomputational biologycomputational chemistryComputational Drug Discoverycomputational structural biologycomputer-aided drug designcryo-EM/cryo-ET integrative modelingenhanced samplingexascale molecular dynamicsfree energy perturbationfree enery perturbationInsilico drug designintegrative structural modelingMarkov state modelsMolecular Dockingmolecular dynamicsMolecular dynamics simulationMolecular dynmanicsMolecular Simulationpharmacophore modelingrelative and absolute binding free energy
Supervision preferences
I work best with a high degree of independence and strategic guidance rather than close day-to-day supervision. I am comfortable leading projects end to end, setting technical direction, and collaborating across computational and experimental teams, with regular check-ins to align on goals and priorities.