Advancing Discovery Through Transformative Leadership in Computing, Data, and Interdisciplinary Research

This talk presents my research journey at the intersection of high-performance computing, data science, and interdisciplinary collaboration. I highlight key contributions to scalable and reproducible scientific workflows, including real-time AI-assisted data analysis from national user facilities, provenance-driven computing for Earth science, and in situ trajectory steering for molecular dynamics. I discuss my efforts in democratizing access to scientific computing through the National Science Data Fabric (NSDF), volunteer computing, and cyberinfrastructure development. The talk also explores my leadership in cross-institutional collaborations, workforce development, and promoting community engagement through seed funding initiatives, underscoring a vision to accelerate discovery through computing, data, and interdisciplinary research.