D. P. Schissel

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About

D. P. Schissel is a leading figure at the intersection of fusion energy science and advanced computational methods. His research primarily focuses on applying machine learning and artificial intelligence to accelerate progress in magnetic confinement fusion, alongside pioneering work in data management and scientific workflows for large-scale plasma experiments. A key contribution is his leadership in the "Advancing Fusion with Machine Learning Research Needs Workshop Report" (2020, 46 citations), which established a strategic roadmap for integrating ML/AI into fusion research, identifying critical areas from plasma control to predictive modeling. This work has helped shape a new interdisciplinary community. Schissel is also renowned for his foundational role in developing the MDSplus data acquisition and storage system, a widely adopted standard in the fusion community for decades. With a career spanning major facilities like DIII-D, his impact is measured not only in citations but in the infrastructure and collaborative frameworks he has built, enabling data-driven discovery in one of science’s most complex domains.