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Guest Speaker

George Tsatsaronis, Vice President Data Science, Research Content Operation, Elsevier

Moderator: Jessica Rodriguez, Industry Engagement and Outreach Officer, Data Science Institute

Event Details

Friday, October 27, 2023 (11:00 AM – 12:00 PM ET) – Virtual Only

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Talk Information

Opportunities and Challenges of Generative Artificial Intelligence in Research, Health and Life Sciences

Abstract: The rapid advancements of Generative Artificial Intelligence (GAI) have created the circumstances for a plethora of opportunities in the Research space, as well as in the space of Health and Life Sciences. In parallel, unprecedented challenges await for us ahead, to ensure the development of responsible and ethical AI solutions that can serve our Research and Professional communities in the best possible way. In this talk we are going to focus on the most representative GAI architectures that can deliver applied AI solutions with impact, leveraging the immense capabilities of large language models and other types of deep neural networks. We are also going to highlight the most important risks and challenges, and provide an overview of the latest evolutions in the research and governance space to address them. We are going to conclude the talk by demonstrating some of the latest, cutting edge GAI solutions that Elsevier has developed and released, serving the research and professional communities and supporting them in advancing science.

Bio: Dr. George Tsatsaronis is Vice President of Data Science at the Operations division of Elsevier, in Amsterdam, The Netherlands. Prior to joining Elsevier in 2016 he worked in academia for more than 10 years, doing research and teaching in the fields of machine learning, natural language processing and bioinformatics in universities in Greece, Norway and Germany. He has published more than 60 scientific articles in high impact peer review journals and conference proceedings in various areas of Artificial Intelligence, primarily natural language processing and text mining. In Elsevier, Dr. George Tsatsaronis is responsible for the design, implementation, deployment and quality assurance for several of Elsevier’s machine learning solutions and capabilities.

LinkedIn: https://www.linkedin.com/in/georgetsatsaronis/

Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=57198219493