基本信息
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Career Trajectory
Bio
He led the first laser pumped, x-ray probed experiment at the Linac Coherent Light Source (LCLS) in 2009. Since then, he with an emphasis on AMO science and novel instrumentation and the requisite computational methods for streaming data processing at the sensor edge, in particular targeting the million frames per second LCLS-II.
In that context he has been a core member of the SLAC AI Initiative since its inception with particular emphasis on Machine Learning for real-time information extraction. With projects ranging from x-ray spectroscopy in molecules, ultrafast materials response, radiographic medical imaging, and tokamak plasma fusion, he has become an adamant proponent of data and model marketplaces for cross-domain innovation sharing with built in provenance and value tracking for an intelligent adaptive data and model retention.
Beyond SLAC, Ryan is driving an integrative approach to instrumentation and co-design of computing infrastructure across the portfolio of Department of Energy labs and facilities as well as technologies across the computing industry. From diagnostic and detector development to algorithms and AI accelerators, from the sensor Edge to Leadership Computing Facilities, he is leveraging his hobbies and his passions to drive the bleeding edge of basic science to address the emerging challenges of automation in industry and agriculture for a better future for his daughters.
In that context he has been a core member of the SLAC AI Initiative since its inception with particular emphasis on Machine Learning for real-time information extraction. With projects ranging from x-ray spectroscopy in molecules, ultrafast materials response, radiographic medical imaging, and tokamak plasma fusion, he has become an adamant proponent of data and model marketplaces for cross-domain innovation sharing with built in provenance and value tracking for an intelligent adaptive data and model retention.
Beyond SLAC, Ryan is driving an integrative approach to instrumentation and co-design of computing infrastructure across the portfolio of Department of Energy labs and facilities as well as technologies across the computing industry. From diagnostic and detector development to algorithms and AI accelerators, from the sensor Edge to Leadership Computing Facilities, he is leveraging his hobbies and his passions to drive the bleeding edge of basic science to address the emerging challenges of automation in industry and agriculture for a better future for his daughters.
Research Interests
Papers共 241 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
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期刊级别
合作者
合作机构
Semin Joung,David R. Smith,G. McKee, Z. Yan, K. Gill, J. Zimmerman,B. Geiger,R. Coffee, F. H. O'Shea,A. Jalalvand, E. Kolemen
APL machine learningno. 2 (2024)
MACHINE LEARNING-SCIENCE AND TECHNOLOGYno. 3 (2024)
Communications physicsno. 1 (2023)
Integrating materials and manufacturing innovationno. 2 (2023): 83-91
Giovanni Perosa,Jonas Waetzel,David Garzella,Enrico Allaria,Matteo Bonanomi,Miltcho Boyanov Danailov,Alexander Brynes,Carlo Callegari,Giovanni De Ninno,Alexander Demidovich,Michele Di Fraia,Simone Di Mitri,Luca Giannessi,Michele Manfredda, Luka Novinec,Nitish Pal,Giuseppe Penco,Oksana Plekan,Kevin C. Prince,Alberto Simoncig,Simone Spampinati,Carlo Spezzani,Marco Zangrando,Jamal Berakdar,Raimund Feifel,Richard J. Squibb,Ryan Coffee,Erik Hemsing,Eleonore Roussel,Giuseppe Sansone,Brian W. J. Meneil,Primoz Rebernik Ribic
Nature Communicationsno. 1 (2023)
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)pp.1-4, (2022)
C. Peltz,J. A. Powell,P. Rupp,A. Summers,T. Gorkhover,M. Gallei,I Halfpap,E. Antonsson,B. Langer, C. Trallero-Herrero,C. Graf,D. Ray,Q. Liu,T. Osipov,M. Bucher,K. Ferguson, S. Moeller,S. Zherebtsov,D. Rolles, E. Ruehl,G. Coslovich,R. N. Coffee,C. Bostedt,A. Rudenko,M. F. Kling,T. Fennel
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Author Statistics
#Papers: 241
#Citation: 13186
H-Index: 53
G-Index: 112
Sociability: 8
Diversity: 3
Activity: 69
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