Summary
Katharine Cahill is a director-level HPC leader with eight years of experience orchestrating computational science programs and enabling research through high-performance computing at academic and supercomputing centers. Trained as a PhD organic chemist, she bridges molecular modeling and experimental collaboration, applying tools like AMBER, Autodock and quantum methods alongside Python, C and R to design and analyze large-scale simulations. She has a track record of translating theory into experiment—from developing regioselectivity models and QM/MM workflows to training researchers nationwide on HPC best practices. Based in Clifton, NJ, Katharine combines hands-on computational expertise with program leadership, curriculum development, and user training to scale scientific impact. An unusual blend of classics undergraduate study and deep chemical modeling gives her a rare ability to communicate complex technical ideas clearly to diverse audiences.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Organic Chemistry, Doctor of Philosophy (PhD), Organic Chemistry at University of New Hampshire
Bachelor's degree, Classics and Classical Languages, Literatures, and Linguistics, Bachelor's degree, Classics and Classical Languages, Literatures, and Linguistics at Reed College