Evan Pretti University of California, Santa Barbara 2023-24 Software Fellow MolSSI Software Mentor: “Development of a flexible and extensible Python framework for high-performance replica exchange molecular dynamics simulations using the OpenMM simulation engine, with applications to coarse-grained modeling of peptide aggregation”
David Poole Georgia Tech 2023-24 Software Fellow Advisor: Prof. David Sherrill MolSSI Software Mentor: Dr. Sina Mostafanejad “Development of reduced-scaling coupled cluster utilizing graphics processing units to enable high-performance, high-accuracy calculations”
Augustine Onyema Graduate Center, City University of New York 2023-24 Software Fellow MolSSI Software Mentor: “Developing python modules to compute the lifetimes of hydrogen bonds and characterize the conditional activity of proteins by secondary structure type to deduce protein conformations”
Ericka Miller Case Western Reserve University 2023-24 Software Fellow MolSSI Software Mentor: “Implementing an efficient, stable, and open-source version of the state-averaged Resonating Hartree-Fock method for use in photochemical applications”
Diego Kleiman University of Illinois, Urbana-Champaign 2023-24 Software Fellow MolSSI Software Mentor: “Design and implementation of a machine learning model for automatic reaction coordinate discovery in proteins”
Jeremy Leung University of Pittsburgh 2023-24 Software Fellow MolSSI Software Mentor: “An Interoperable WESTPA Framework for Machine-Learning-Enhanced Weighted Ensemble Simulations of Rare Events”
Anja Conev Rice University 2023-24 Software Fellow MolSSI Software Mentor: Dr. Jing Chen “Developing the DINC-Ensemble toolkit for accelerated ensemble docking of large flexible ligands”
Anupam A Ojha University of California San Diego 2021-A Seed Software Fellow Adviser: Prof. Rommie Amaro MolSSI Software Mentor: Dr. Eliseo Marin-Rimoldi “Developing a Multiscale Milestoning Simulation Approach for Efficient Protein-Ligand Binding and Unbinding Kinetics”
Justin Provazza Boston University 2018-20 Software Fellow MolSSI Software Mentor: Dr. David Coker “Developing a molecular quantum dynamics and spectroscopy package”
Jiyoung Lee University of Texas at Austin 2022-23 Software Fellow Advisor: Prof. Graeme Henkelman MolSSI Software Mentor: Dr. Sina Mostafanejad “Development of on-the-fly machine learning Fortran module to accelerate optimization process”