Speakers
Description
Technical experts from EPO, EMBL and CERN will present practical applications of AI systems in their organisations, may it be in the domain of productivity or for research purposes, and explain the benefits they generate.
After the talks of a total length of 30 minutes the participants have 10 minutes for questions and answers.
• About the speakers:
Diego Eguidazu Alonso, Chief Information Officer, Business Information Technology
Diego has served as the EPO’s Chief Information Officer since 2019. In this role he has been a key contributor to the EPO’s digital transformation, combining his expertise in technology and leadership to steer information management in a rapidly evolving digital landscape. Before joining the EPO, he had a career in IT management, working in various International Organisations. Diego chairs the SACEPO Working Party on e-Patent Process, the dedicated user forum accompanying the EPO's efforts in digital transformation. His professional experience has given him a keen interest in innovation, new technologies, AI and IT sustainability. |
Prof. Dr. Jan Korbel, Head of Data science Centre at EMBL
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Sofia Vallecorsa, Leader of the Computing & Data Science Section, IT department, CERN
Sofia is a researcher in the fields of Scientific Computing, Machine Learning and Quantum Computing with applications in High Energy Physics at CERN. PhD in Physics, she has expertise in Machine Learning and Deep Learning. Currently, she focuses on the intersection between AI and Quantum Computing. She is the coordinator of the CERN Quantum Technology Initiative, leading a team dedicated to the investigation of the potential impact of quantum technologies in High Energy Physics. |
Lucy Lockwood, Business Analyst, SCE department, CERN
Lucy Lockwood has 20 years’ experience as Data and Business Analyst, User Experience Advocate, Product Manager and Change Lead, with a focus on CERN's Administrative domains. Passionate about continuous improvement, Lucy is leading a pilot aiming to bring about productivity and efficiency gains at CERN through the use of Artificial Intelligence. |