Jeremy Tempkin
Research Staff at Lawrence Livermore National Laboratory
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJeremy Tempkin is a Ph.D. computational biologist/chemist and research staff scientist in the Bay Area with 11 years of experience developing high-performance computational methods to probe protein structure, dynamics, and assembly. His academic career spans novel algorithms for rare-event sampling, preconditioning that delivered a 3.5× speedup on high-dimensional molecular problems, and integrative approaches that fuse time-resolved microscopy with physical simulations to map in vivo assembly pathways of large complexes like the Nuclear Pore Complex. An expert open-source scientific software developer, he builds HPC-ready Python tools that accelerate prototyping and deployment of enhanced sampling methods. Jeremy combines deep theoretical training in physical chemistry and applied mathematics with hands-on parallelization and software engineering practiced across national lab and top university settings. Colleagues describe him as a bridge between rigorous algorithm development and practical, scalable implementations that enable new biological insight.
11 years of coding experience
Bachelor of Science (BS), Biochemistry/Mathematics, Bachelor of Science (BS), Biochemistry/Mathematics at University of Puget SoundDoctor of Philosophy (Ph.D.), Physical Chemistry, Doctor of Philosophy (Ph.D.), Physical Chemistry at University of Chicago
Github Skills (5)
structural-biology2
python2
python-bindings1
protein-structure1
modeling1
Programming languages (1)
Github contributions (4)
jtempkin/enhanced_sampling_toolkit
Jul 2014 - Apr 2020
Contributions:2 releases, 176 commits, 35 pushes in 5 years 9 months
salilab/metamodeling
Jan 2019 - Jan 2019
Contributions:2 commits in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.