Dr. Arnaud Delorme is a faculty at the University of San Diego California. Dr. Delorme is the main software architect of the free EEGLAB academic software package for advanced analysis of EEG signals (now the most popular software for EEG analysis). Dr. Delorme has trained 8 Ph.D. students, published more than 100 journal articles, and his work has been cited more than 25,000 times.
Subhashini Sivagnanam has 15+ years of experience in leading projects to reduce the complexity of using high-performance computing (HPC) and data resources for academic researchers such as creating science gateways, building capacity in research cyberinfrastructure, developing meta-scheduling tools, providing expert scientific-technical support, and leading training effort. She organizes technical workshops and presented numerous tutorials and talks on topics relevant to HPC resources and applications, data reproducibility, and science gateways.
Amit Majumdar leads the Data Enabled Scientific Computing division at the San Diego Supercomputer Center (SDSC), UCSD, and is an Associate Professor in the Department of Radiation Medicine and Applied Sciences at the UCSD Medical School. His interests are in high-performance computing and computational science. He has been involved with the neuroscience community for about ten years related to their usage of computational resources and software for modeling and data processing.
Workshop Sponsors and External Links
- Acknowledging grants: NIH R24MH120037, NIH R01EB023297, NIH R01NS047293, NSF DBI1935749, NIH U24EB029005