Speakers

Nicolai Ladegaard is a clinical psychologist, specialist in psychiatry, and Honorary Associate Professor at the Department of Psychology and Behavioural Sciences, Aarhus University. He divides his time between inpatient clinical work at the Department for Depression and Anxiety, Aarhus University Hospital Psychiatry, and research on affective disorders, sleep, grief, and the use of digital and creative approaches in mental health care. His current work focuses on how large language models and virtual simulated patients can support training, supervision, and quality improvement in psychiatric services, with particular attention to safety, realism, and user-centered evaluation.

He will present the development of a large-language-model-based virtual simulated patient designed for training clinicians in diagnostic interviews and therapeutic conversations in adult psychiatry. The system allows trainees to practice full-length consultations with a dynamically responsive virtual patient that simulates complex psychiatric presentations.

Ilias Chalkidis is an Assistant Professor of Natural Language Processing (NLP) at the Department of Computer Science, University of Copenhagen. His core expertise lies in Legal Natural Language Processing (Legal NLP). He is also working on topics related to Trustworthy and Responsible NLP (Fairness, Robustness, and Explainability) and, more recently, NLP for politics, and sociotechnical challenges of AI alignment and generative AI technologies in general. 

Dora Kampis is a developmental social cognitive scientist. Most of her work concerns early social cognition. She is interested in the cognitive mechanisms contributing to the highly social nature of humans, how these develop early on, their interactions with different domains such as perception and memory, and how and whether they show continuity into adulthood. I am particularly drawn to developmental questions in ontogeny as well as phylogeny, because it enables us to address the foundation and emergence of the phenomena we know about ourselves as human adults.

Dr. Jindong Gu is a Senior Research Scientist at Google. He is also affiliated as a Senior Research Fellow at the University of Oxford. His research interest is Responsible AI, including Safety, Privacy, Fairness, Robustness of AI models. In this area, he has regularly published papers, served as Area Chair, and organized workshops in top AI conferences. He has received two best paper awards and one outstanding paper award.

Camilla Funch Uhre clinical and research work focuses on cognitive functioning in children and adolescents with psychiatric or neurological disorders, including ADHD, OCD, autism, and cerebral palsy. She completed her PhD in Psychiatry in 2022, examining cognitive functions in children and adolescents with OCD, and she is currently project lead on a study of cognitive profiles, fatigue, and mental health in youth with cerebral palsy. She is particularly interested in executive functions and how they relate to everyday functioning, mental well-being, and participation in school and social life. 

Nirupam Gupta is a Tenure-Track Assistant Professor in the Department of Computer Science at the University of Copenhagen, Denmark. He previously held postdoctoral positions at EPFL, Switzerland (2021-2024), and at Georgetown University, USA (2019-2021). His current research focuses on distributed machine learning (incl. federated learning), robust algorithms, and privacy-preserving methods. He has also worked on distributed optimization and privacy-preserving average consensus. His co-authored paper has received the Best Paper Award at ICDCN. Nirupam received his Ph.D. from the University of Maryland, College Park (2018), and his bachelor’s degree from Indian Institute of Technology Delhi (2013).

Rune Nyrup is an associate professor at the Centre for Science Studies, Aarhus University. He received a PhD in Philosophy from Durham University in 2017 and worked for several years at the Centre for the Future of Intelligence in Cambridge before joining Aarhus in 2023. His research focuses on issues at the intersection of philosophy of science and interdisciplinary AI ethics/alignment. Rune currently leads the DFF: Sapere Aude project Towards Responsible Explainable AI Technologies (TREAT), and was recently awarded a Villum Synergy grant for a project named REMAX: Rigorous Evaluation Methods for AI Explainability, due to start May 2026.

Lau Lilleholt Harpviken is an assistant professor at the Department of Psychology at the University of Copenhagen. He studied Psychology at the University of Southern Denmark, completed a PhD in Psychology at the University of Copenhagen, and worked as a postdoctoral researcher at Aarhus University and the University of Copenhagen. His research interests span Behavioral Economics, Personality, Judgment and Decision-Making, Behavioral Ethics, and Social Data Science. He is particularly interested in the economics of pro- and antisocial behavior, with a focus on how pro- and antisocial personality traits influence individuals’ economic decisions.

Hjalmar Alexander Bang Carlsen is an sociologist and associate professor specializing in mixed digital methods. His research and teaching focus on mixed-methods approaches to collecting and analyzing digital data, with a substantive emphasis on political and civic participation on social media. He is currently leading a project titled, AInterviewer – Using LLMs to Collect Qualitative Interview Data at Scale. This methodological project explores the potential of generative large language models (LLMs) to conduct qualitative-style interviews by posing open-ended questions and contextually appropriate follow-ups.