Lonnie D. Crosby – Director and Mentor
https://orcid.org/0000-0003-4283-4137
Bio: Lonnie Crosby is a computational scientist and theoretical physical chemist who is interested in applying high-performance computing (HPC) methodologies to research questions in physics, chemistry, engineering, and materials.
Expertise: Scientific Computing; Computational Chemistry (electronic structure theory, chemical kinetics, and statistical mechanics); and HPC
Od Odbadrakh – Facilitator
https://orcid.org/0000-0001-8576-4680
Bio: Od Odbadrakh has over twenty years of experience in computational materials research, scientific software development, high-performance computing, and managing scientific software packages. He has had extensive experience working on various leadership class supercomputers.
Expertise: Deep Learning; HPC application scalability; and Materials Science (compositionally complex alloys (CCA), metallic glasses, and alloys with extended defects and disorder)
Reed Sarasua Tucker – Facilitator
Bio: Reed Sarasua Tucker is an application developer and software engineer. Reed has experience writing highly performant code in Python and C/C++. His interests include GPU programming, machine learning, and artificial intelligence.
Expertise: Python, Software Development, and Web Development
Scott Emert – Facilitator
Bio: Scott Emert has over thirteen years’ experience in radiological protection safety, laboratory and machine shop management and supervision, and robotic development. He also has several inventions registered with UTK’s Office of Research, Innovation, and Economic Development
Expertise: Radiation Safety, Laboratories (supervision, research, inventory, etc.)
Micholas Smith – Facilitator
https://orcid.org/0000-0002-0777-7539
Bio: Micholas Smith is a Computational Biophysicist and Research Assistant Professor in the Department of Biochemistry and Cellular and Molecular Biophysics with nearly ten year of experience using both traditional HPC and leadership class supercomputers (ORNL: TITAN, SUMMIT & FRONTIER; NERSC: HOPPER, CORI, and PERLMUTTER). He has generated molecular models on systems ranging from plant cell walls to biomembranes.
Expertise: Molecular dynamics simulations on HPC; “Shallow” machine learning; Molecular modeling of biological soft-matter such as biopolymers (including proteins, lignin, and carbohydrates), biomembranes, protein-ligand complexes, modeling of organic solvents and solvent property prediction.