Daniel S Katz

Dr. Daniel S. Katz is a Research Associate Professor at the Siebel School of Computing and Data Science and School of Information Sciences at the University of Illinois. He also serves as Chief Scientist at the National Center for Supercomputing Applications (NCSA) and is affiliated with the Personalized Nutrition Initiative at the Carl R. Woese Institute for Genomic Biology. His work focuses on advancing research software sustainability, open science practices, and high-performance computing. He has contributed to initiatives like the FAIR4RS principles and the Journal of Open Source Software (JOSS).

Key research areas include

• Research Software Engineering
• Open-Source Software Governance
• FAIR Principles Implementation
• Scientific Workflow Systems
• Reproducibility in Computational Science

His recent publications emphasize strategic challenges in research software funding, interoperability between workflow systems (e.g., Parsl+CWL), and FAIR compliance in AI and ML contexts. He received the BSSw Fellow award in 2018 for contributions to scientific software advancement.

Dr. Katz’s collaborations involve global institutions and span disciplines such as bioinformatics, climate modeling, and HEP (High Energy Physics). He leads NCSA’s efforts in AI/ML infrastructure and training, bridging academic research with scalable computational solutions.