Information on the symposium's speakers

Integrating clinical insights and cutting-edge prediction modelling
Friday September 13th 2024
9 am - 1.30 pm

Name speaker & short bio uitklapper, klik om te openen

• Andre Marquand

Andre Marquand is Professor of Computational Psychiatry, interested in the development of novel statistical techniques for neuroimaging data, aiming to further the understanding of human brain function. He has a particular focus on machine learning techniques that aim to learn to detect patterns of statistical regularity in empirical data. These methods hold significant promise for decoding cognitive states and predicting clinically relevant variables in health and disease.

• Bjørn Ebdrup

Bjørn Ebdrup is Clinical Professor of Psychiatry and the Scientific Director of the Center of Neuropsychiatric Schizophrenia Research of the University of Copenhagen and Psychiatric Center Glostrup in Denmark. His main research areas are multimodal cohort studies on antipsychotic-naïve patients with first episode psychosis, with particular focus on structural and neurochemical brain changes after antipsychotic treatment, and the physiological effects of GLP-1 analogue treatment of obesity in schizophrenia patients.

• Ilona van de Meent

Ilona van de Meent is a dance and movement therapist and a PhD student at the Brain Center of the University Medical Center Utrecht. She has a background in dance and therapy, specializing in movement and gait analysis. Her mission is to achieve a better and more comprehensive understanding of movement profiles that may be related to psychiatric diagnoses in order to develop personalized movement interventions. She is involved in several research projects, including the MUVA project and Psychosis Prognosis Predictor.

• Karen Ambrosen

Karen Ambrosen is a biomedical engineer and Senior Researcher at the Center for Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Denmark. Her research focuses on discovering biomarkers, predicting outcomes, and identifying subgroups in schizophrenia by applying machine learning methods to multimodal neuropsychiatric data, including neuroimaging data such as MRI and EEG.

• Livia Dominicus

Livia Dominicus is a resident in psychiatry and is completing her PhD at UMC Utrecht, focusing on predicting antipsychotic response in patients experiencing a first psychosis.

• Melissa Zandstra

Melissa Zandstra is a third year PhD student at the Department of Psychiatry at the UMCU. She has a background in both (forensic) psychology and neuroscience, which provides a unique interdisciplinary perspective on mental health.  Her PhD research broadly focuses on studying networks within psychosis and severe depression. She delves into both brain networks and symptom networks, exploring how different areas of the brain communicate and how clusters of symptoms interact.

• Seyed Mostafa Kia

Dr. Seyed Mostafa Kia is an Assistant Professor at the Department of Cognitive Science and Artificial Intelligence at Tilburg University. He holds a PhD in Computer Science from the University of Trento and specializes in cognitive neuroscience, machine learning, and neuroimaging. His research focuses on developing computational models to understand and predict neuropsychiatric conditions, particularly through normative modeling frameworks for clinical neuroimaging. Dr. Kia aims to enhance mental health diagnostics and interventions by bridging theoretical models with real-world clinical applications, collaborating with international research teams to advance the field of precision psychiatry.

• Violet van Dee

Combining my clinical work as a psychiatrist in training with a PhD-program I have a passion for patient-oriented research; engaging patients as partners, focusing on patient-identified priorities and improving patient outcomes.

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