MolSSI Software Scientists
Paul Saxe
Lead Software Scientist
Ph.D. U.C. Berkely
Forcefields, Quantum chemistry, DFT, Biomolecular Simulations, Polymers, Materials
Taylor Barnes
Ph.D., California Institute of Technology
Parallelization, Optimization, Embedding, Batteries
Jing Chen
Ph.D., North Carolina State University
Molecular Dynamics simulations, Web Application Development
Sam Ellis
Ph.D., Iowa State University
Software Engineering, Molecular Programming
Sina Mostafanejad
Ph.D., Florida State University
Electronic Structure Theory, Optimization, HPC, AI & ML, C/C++
Jonathan Moussa
Ph.D., U.C., Berkeley
Computational Physics, Numerical Analysis, Quantum Information Theory
Levi Naden
Ph.D., U. Virginia
Biomolecular Simulation, Workflows, Reproducibility
Jessica A. Nash
Ph.D., North Carolina State University
Molecular Dynamics Simulations, All-Atom Simulations, Nucleic Acids, DNA Nanotechnology, Nanomaterials
Benjamin Pritchard
Ph.D. University at Buffalo
C++, Software interoperability, Code optimization, High-precision computation
Former Software Scientists
Andrew Abi-Mansour
(2019 to 2021)
Ph.D., Indiana University
Schemas, tools that enhance interoperability of different molecular mechanics codes.
Doaa Altarawy
(2017 to 2021)
Ph.D., Virginia Tech
Computer Science, Machine Learning, Algorithms, Software Engineering, Visualization, Computational Biology
Eliseo Marin-Rimoldi
(2018 to 2021)
Ph.D., U. Notre Dame
Monte Carlo, Molecular Simulation, Statistical Mechanics, Advanced Sampling Techniques
Susi Lehtola
(2020 to 2022)
Ph.D., U. of Helsinki
Density Functional Theory, Coupled Cluster Theory, Fully Numerical Methods, Localized Orbitals
Daniel G.A. Smith
(2016 to 2020)
Ph.D., Auburn University
Quantum Chemistry
Matthew Welborn
(2019 to 2020)
Ph.D., MIT
Quantum embedding, machine learning