Summary
Latoya Anderson is an HPC research facilitator with 11 years of experience at the intersection of scientific computing, research software engineering, and workflow optimization, currently supporting large-scale computational workloads at MIT Lincoln Laboratory Supercomputing Center. She specializes in diagnosing performance bottlenecks, improving system utilization, and building Python tooling that makes complex software environments and module dependencies more transparent and reproducible. Her background in computational quantum chemistry and work at institutions like the Simons Foundation give her deep domain knowledge in electronic structure methods and experience running and automating large HPC experiments. Latoya brings a systems-level mindset to reproducibility, environment management, and AI/ML-ready infrastructure, translating research goals into scalable, efficient workflows. She pairs hands-on troubleshooting with user-facing automation, helping researchers across disciplines get more reliable results from high-performance clusters.
11 years of coding experience
7 years of employment as a software developer
BS, Physics, BS, Physics at Brooklyn College
Bachelor of Arts - BA, Dance, Bachelor of Arts - BA, Dance at The New School