1.9.2026 | HealthtechFi Sustainability working group: Responsible AI and trustworthy as part of sustainable health technology
Tapahtuman tiedot
Ajankohta
-
Welcome to the Healthtech Finland Sustainability Working Group, organized in collaboration with Aalto University.
Responsible AI and trustworthy as part of sustainable health technology
Please note that the working group meeting will be held in English.
Please let Päivi Ahlgren know if you are joining on site, so that we can minimize food waste.
Programme:
8:30-9:00 Breakfast and gathering on site at Eteläranta 10, Helsinki
9:00 Opening the meeting / Päivi Ahlgren, HealthTech Finland
Leading to the topic / Jussi Nissilä
Opportunities and challenges for AI in healthcare / Pekka Marttinen
Reliable and generalizable AI systems / Qi Chen
Beyond accuracy: holistic assessment of ML systems / Sebastian Szyller
Comments from medical device regulation perspective / Marika Karjalainen, Aurevia
Discussion and summary
11:00 Ending the meeting
Bios:
Dr. Marttinen is an Associate Professor (tenured) in Machine Learning in the Department of Computer Science at Aalto University, where he leads the Machine Learning for Health (Aalto-ML4H) research group. He is the head of the Major in Machine Learning, Data Science, and Artificial Intelligence (Macadamia). He received his PhD in Statistics from the University of Helsinki in 2008 and has been employed by Aalto University since 2009, interleaved by research visits at the Harvard School of Public Health and the Sanger Institute in Cambridge. He has published over 110 articles on machine learning and biomedical applications. Since June 2026, he has served the vice dean for education at the Aalto University School of Science.
Dr. Szyller is an assistant professor at Aalto University where he leads the Trustworthy & Adversarial Computing Lab. His research sits at the intersection of machine learning, and security and privacy — particularly model provenance and the formal foundations of trustworthy machine learning, with a focus on quantifiable guarantees and worst-case analysis. Prior to his current role, Sebastian was a research scientist at Intel Labs, where his work on provenance contributed to the C2PA standard. Across academia and industry, he has been working on trustworthy machine learning for ten years.
Dr. Qi Chen is a Principal Investigator at the ELLIS Institute Finland and a tenure track Assistant Professor in the Department of Computer Science at Aalto University. She is also a member of ELLIS and a Faculty Affiliate Researcher at the Vector Institute. Before joining Aalto University, she was a postdoctoral fellow at the Data Science Institute and the Robot Vision & Learning Lab at the University of Toronto, supported by the DSI Postdoc Fellowship and advised by Prof. Florian Shkurti. She received her PhD, with dissertation honours, from Laval University in March 2024, under the supervision of Prof. Mario Marchand. Prior to her academic career, she worked as a senior algorithm engineer at Baidu and ByteDance.
Marika Karjalainen is a biochemist and Quality & Regulatory Affairs Expert at Aurevia specializing in AI-driven medical software and diagnostics. With more than 20 years of experience in healthcare technology, she helps companies navigate the rapidly evolving intersection of artificial intelligence, clinical practice, and regulation. Her work covers MDR, IVDR, FDA, and AI Act compliance, with a particular interest in trustworthy AI, clinical validation, and practical implementation of quality systems for AI-enabled healthcare technologies. In addition to her consulting work, she is pursuing doctoral studies at the University of Helsinki on AI applications in clinical pathology.