what:

Healthcare
Datathon

where:

University Clinical Centre in Gdansk

when:

10 am – 5 pm
27-28 September 2025

Dr. Leo Anthony Celi has practiced medicine in three continents, giving him broad perspectives in healthcare delivery. 

He holds a faculty position at Harvard Medical School as an intensive care specialist at the Beth Israel Deaconess Medical Center and is the clinical research director for the Laboratory of Computational Physiology at MIT. He also founded and co-directs Sana, a cross-disciplinary organization based at the Institute for Medical Engineering and Science at MIT.

Radosław Reguła is a senior specialist in the implementation of ML and AI solutions and a member of the Responsible AI team at Roche.

He has spent the past five years working on the implementation of ML and GenAI use cases at Roche. More recently, as part of Responsible AI—a team formed specifically to address issues of governance, safety, and ethics in LLMs—he has focused on automating the evaluation of bias, toxicity, and security in large models used within the organization. 

Prof. Okan Ekinci is the Head of Digital Technology and Chief Medical Information Officer at Roche Information Solutions (Santa Clara, California, USA). He joined Roche in 2018 and served as Chief Medical Officer and Senior Vice President of Marketing & Innovation for the digital health business.

He is a board member at multiple startup incubators & accelerators and a strategic advisor to healthcare institutions and governments on digital transformation and artificial intelligence. Okan is a cardiologist by training and an adjunct professor of medicine at the University College Dublin, Ireland.

Prof. Roszak is Head of Computer Sciences and Statistics at Poznań University of Medical Sciences.

She leads interdisciplinary research at the intersection of medicine, informatics, and mathematics. President of the Polish Academic E-learning Association. Prof. Roszak also co-directs a "Data Science in Medicine" postgraduate program with Roche and holds a habilitation in medical sciences and a PhD in mathematical sciences.

Dr. Jakub Mieczkowski is a researcher working at the intersection of genomics, machine learning, and medical diagnostics. 

He is an Associate Professor and Group leader at International Research Agenda 3P, a research unit of Medical University of Gdansk. He specializes in computational models that detect patterns in genetic and epigenetic data to support clinical decision-making with a strong emphasis on practical applications.

Dr. Bobowicz is an oncology surgeon, reasearcher and an enthusiast of the responsible use of AI in medicine, particularly cancer imaging.

He is an assistant professor at the 2nd Department of Radiology, Medical University of Gdansk. His other fields of interest are artificial intelligence in oncology, radiomics, bioinformatics, process automation in radiology, precision medicine in oncology, and new cancer diagnostics and treatment technologies.

Dariusz Szplit is a specialist in the application of Al in medicine and an expert in Health Technology Assessment. Dariusz is a HB-HTA expert, healthcare quality specialist, ISO 27001 Masterclass Auditor, and a GFKM Executive MBA graduate.

He is the Head of the Department of Innovation, Analytics, and Implementation of Medical Technologies at the University Clinical Centre in Gdansk. His other fields of interest include data analysis for operational control and management support.

Adam Krenke is a Transformation, Marketing & Digital Chapter Leader at Roche where he focuses on optimizing investments to help achieve affiliate ambitions.

By leading teams focused on Omnichannel Marketing, Customer Experience, and Digital Solutions, he integrates modern commercial capabilities to drive business growth. He brings a strategic and holistic approach to transforming the commercial model, ensuring Roche effectively meets the evolving needs of patients and customers.

Dr. Judy Wawira Gichoya is a multidisciplinary researcher, trained as both an informatician and a clinically active radiologist. 

She is an assistant professor at Emory University and works in Interventional Radiology and Informatics. Her career focus is on validating machine learning models for health in real clinical settings, exploring explainability, fairness, and a specific focus on how algorithms fail.

Prof. Krawiec is a full Professor of Computer Science at Poznan University of Technology.

He leads the Neurosymbolic Systems Group. His research focuses on program synthesis, neurosymbolic systems, evolutionary computation, and medical imaging, with over 180 publications in these areas. He has received the Fulbright Senior Advanced Research Award, two ACM SIGEVO Impact Awards, and has held visiting professorships at University of California and MIT. Beyond academia, he is the Chief AI Officer at Optopol Technology and CTO of Hylomorph Solutions Ltd.

Prof. Rumiński is a scientist, engineer and teacher in the field of biomedical engineering and computer science.

He is a head of the Department of Biomedical Engineering at the Faculty of Electronics, Telecommunications and Informatics of the Gdańsk University of Technology. He is a titular professor, member of the Committee of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences, Chairman of the Scientific Council of the Polish Society of Artificial Intelligence and member of the Human-Factor Committee of IEEE IES.

Dr. Stephen Pfohl is a senior research scientist at Google Research.

His work focuses on the incorporation of fairness, adistribution shift, and equity considerations into the design and evaluation of machine learning systems in healthcare contexts. Previously, Stephen completed a PhD in Biomedical Informatics at Stanford University in the Department of Biomedical Data Science.