Woo-Young (Young) Ahn is an Associate Professor in the Department of Psychology at Seoul National. He was previously an Assistant Professor in the Department of Psychology and an affiliated faculty at Translational Data Analytics at The Ohio State University. He earned his B.S. in materials science & engineering in 2002 from Seoul National University and then went to Harvard University as a doctoral candidate for applied physics and received his S.M. in applied physics in 2003. He continued on to receive his M.A. in clinical psychology from Seoul National University in 2006, and his Ph.D. in clinical psychology from Indiana University. He completed his clinical psychology internship at the University of Illinois at Chicago (UIC) in June 2012. He worked then as a postdoc with Read Montague and Peter Dayan for two years at Virginia Tech Carilion Research Institute (VTCRI) and for a year at Virginia Commonwealth University Institute for Drug and Alcohol Studies.

I am a Professor of Neuroscience and Psychiatry at the University of Newcastle, Group Leader of the Systems Neuroscience Group at the Hunter Medical Research Institute and consultant psychiatrist at the Awabakal Aboriginal Medical Service, Newcastle. I lead a multi-disciplinary program that models large-scale systems of the brain, bridging from mathematical foundations to clinical translation. In most organ systems, scientific understanding of molecular and cellular processes has led to better treatments. However, this has not held true for the brain and psychiatric disease. Despite our substantial understanding of the neuron, we do not understand the systems-level rules of the brain and how they breakdown in brain disorders. Drawing on mathematics, psychiatry and neuroscience, I study systems-level models of brain disorders, using these to shed light on disease mechanisms and provide new diagnostic and prognostic tools.

Charlotte Fraza earned her Bachelor's in theoretical physics at Utrecht University followed by a European Master's in Image processing, color science, and computer vision in France (UDL), Spain (UGR), Finland (UEF) and Japan (TUT). Subsequently, she followed with a Master's in Neuroscience, specializing in Natural Computing and Neurotechnology, at Radboud University. Here she is now a PhD candidate under the supervision of Andre Marquand and Christian Beckmann, working on improving the models for individualized predictions of neurological and mental disorders, using machine learning techniques such as normative modeling and autoencoders. Furthermore, she has her own Blog and YouTube channel, discussing several topics in neuroscience and machine learning.

Herman is currently pursuing a PhD at the Translational Neuromodeling Unit. He is interested in the predictive modeling of mental states, especially using large biomedical databases. He hopes to contribute novel developments to the machine learning tools that underly such analyses, as well as demonstrate how they could be useful in clinical practice. Feel free to learn more about his research on his Google Scholar. Besides research, Herman enjoys bouldering, entrepreneurship, and socializing over (good) food.

Jakob studied Physics at the Swiss Federal Institute of Technology (ETH) in Zürich. During his PhD with Kevan A.C. Martin at the Institute for Neuroinformatics (ETH, Zürich, Switzerland) he developed a layered cortical microcircuit model of the frontal eye fields, a brain region important for the control of eye movement in primates. Jakob then moved to Berlin where he worked with John-Dylan Haynes and developed and applied novel methods to study multivariate and information theoretical aspects of brain connectivity with fMRI. Since 2012, Jakob is a Senior Researcher and Head of Laboratories at the Translational Neuromodeling Unit.

Dr Heitmann is a Computational Scientist in the Computational Cardiology Laboratory at the Victor Chang Cardiac Research Institute. His work uses computer models of the electrophysiology of cardiac cells to understand how abnormalities in the electrical properties of the cell membrane can induce arrhythmias in the beating heart. His background spans the disciplines of Computer Science, Psychology and Mathematics. Dr Heitmann completed his PhD in Computational Neuroscience at the University of New South Wales in 2013 with additional post-doctoral training in Mathematical Neuroscience at the University of Pittsburgh. He has published theoretical accounts of the functional role of pattern formation in the firing patterns of neurons in motor control and vision. Dr Heitmann is the principal author of the Brain Dynamics Toolbox which is an open-source software for simulating dynamical systems in neuroscience and related fields.

Alex Hess received his Bachelor and Master Degrees from ETH where he studied Health Science and Technology and is currently a PhD candidate at the TNU. In his free-time he is a passionate floorball player.

Nikola Jajcay received a Bachelor's Degree in Physics and a Master's Degree in Atmospheric Sciences and Meteorology, both from the Charles university in Prague. He continued with a PhD in Atmospheric Sciences and Meteorology, also at Charles university. Afterwards, Nicola switched gears to neuroscience and is now working in the Neuroscience domain with EEG data and conductance-based DCMs.

I obtained my Bachlor of Science in Psychology with a minor in General Linguistics from the University of Zurich in 2019. I then completed the prestigious Research Master of Cognitive and Clinical Neuroscience with distinction at Maastricht University in 2022. In my master's thesis, I applied Hidden Semi-Markov modeling to explore EEG brain states associated with auditory verbal hallucinations, which sparked my interest in computational psychiatry. Since 2023, I have been a full-time research assistant at the Tranlational Neuromodeling Unit. In this role, I actively contribute to various projects while continuing to learn about computational psychiatry as well as the administrative aspects of research. Finally, I was one of the main organizers of the Computational Psychiatry Course Zurich 2023.

Imre Kertesz received his Bachelor's and Master's Degree in Information Technology and Electrical Engineering from ETH Zurich and is currently a doctoral student at the Translational Neuromodeling Unit. In his research he is developing generative models of whole-brain connectivity. In his free time he enjoys 3D printing or playing the violin.

I am an assistant professor at Aarhus University working under the supervision of Chris Mathys where I use nonparametric predictive coding to study the formation of delusions. From 2019 to 2022, I was a postdoctoral fellow in the Embodied Computation Group at Aarhus University, where I developed novel tasks to measure cardiac interoception using Bayesian psychophysics. I am the creator and maintainer of several Python packages for physiological signal analysis, psychophysics, predictive coding neural networks and computational models of learning and metacognition.

Kevin is Senior Research Scientist in the Department of Computational Neuroscience (Dayan lab) at the MPI for Biological Cybernetics, where his primary research focus is neuromodulation. Before that, he did his PhD at Bristol University and postdocs at the Gatsby Unit (UCL) and Princeton University.

Andre Marquand is a computational neuroscientist 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.

Chris Mathys is Professor of Cognitive Science at Aarhus University in Denmark and a TNU alumnus. His group's research is focused on the creation of computational models of behaviour and brain function, with a recent emphasis on the modelling of delusions. As a graduate student, Chris developed hierarchical Gaussian filtering (HGF), a modelling approach that allows for the automatic, principled, and agent-specific adjustment of learning rates in rapidly changing environments. This enables the quantification of individual differences in learning, inference, and decision-making. In addition to his original background in physics and information technology, Chris has a degree in Psychology and Psychopathology and has completed post-graduate training as a clinical psychologist.

Matthew Nassar is an Assistant Professor in the Department of Neuroscience at Brown University. He received his BA at Colgate University and his Doctorate from the University of Pennsylvania. He completed post-doctoral training at the University of Pennsylvania and Brown University before joining faculty at Brown. His research focuses on understanding how the brain flexibly processes information to achieve complex and adaptive behaviors.

Inês Pereira studied Medicine at the NOVA Medical School of Lisbon and at the Charité Universitätsmedizin Berlin. She continued working in Berlin as a Neurology resident. She further obtained her MSc Degree in Neural Systems and Computation in 2020 at UZH and ETH Zurich and is currently a doctoral student at the TNU.

Inês works on mathematical models of brain connectivity using mostly fMRI data. Her projects at the TNU involve both model development as well as model application on specific patient populations. She is interested in particular in furthering our understanding of the pathophysiology of fatigue, and has been working with people affected by multiple sclerosis.

Apart from research, Inês also thoroughly enjoys the outdoors, including splitboarding, biking and sailing.

Dr. Frederike Petzschner is an Assistant Professor at the Carney Institute for Brain Science at Brown University. She is also a director of the Carney Brainstorm Program that accelerates the translation of computational brain science to clinical applications and commercialization. Prior to this, Frederike worked at the Translational Neuromodeling Unit at the University of Zurich and ETH Zurich with Prof. Klaas Enno Stephan. Her research focus is human perception and mental health: She uses mathematical models in combination with behavior and brain imaging to understand brain-body and brain-world interactions in the healthy population and in patients suffering from psychosomatic symptoms, Disordered Gambling, Obsessive-Compulsive Disorder and Chronic Pain.Before coming to Zurich, Frederike received a Master with Honors degree in Physics at the University of Würzburg and a PhD with Stefan Glasauer in systemic Neuroscience at the LMU Munich. She graduated both programs of the Bavarian Elite Network with the highest possible distinction.Besides her academic interest, Frederike is a member of the national council for digital ecology in Germany (Rat für digitale Ökologie), an alumni of the WEF Global Shapers.

I received my bachelor's degree in engineering sciences from the Technical University of Munich (TUM) in 2018 and passed the elite master's degree in neuroengineering (TUM) with honours in 2022. Between 2018 and 2021 I was employed at the Institute for Cognitive Systems (TUM) where I worked on adaptive machine learning algorithms for the decoding of neuronal signals in brain-computer interfaces. In my master thesis I worked on interpretable machine learning methods in hearing diagnostics using Bayesian Inference in a joint project between the University of Tübingen, the Harvard Medical School and the TUM. Since 2022 I am part of the Translational Neuromodeling Unit where I focus on the development of mechanistic models of the insular cortex as well as EEG and MEG data analysis.

Dr. Smith holds master's degrees in Neuroscience and Philosophy, as well as a Ph.D. in Psychology, each completed at the University of Arizona (UA). He did postdoctoral work with Drs. Scott Killgore and Richard Lane at the UA Psychiatry Department and with Dr. Karl Friston at University College London. In 2019, he accepted a faculty position at the Laureate Institute for Brain Research (LIBR). He is currently a Principal Investigator at LIBR and Research Associate Professor at the University of Tulsa. Dr. Smith's work focuses on computational mechanisms of interoception, emotion, and decision-making in individuals with anxiety, depression, and substance use disorders. His specific interests relate to how brain-body interactions during emotional responses influence information-seeking and multi-step planning, and how these mechanisms may be altered within affective disorders.

Klaas Enno Stephan is a computational neuroscientist and medical doctor. He is Full Professor for Translational Neuromodeling & Computational Psychiatry at the University of Zurich and ETH Zurich. His scientific work covers the entire translational pipeline, from the development of disease theories via the creation of computational methods to their application in clinical studies. A central goal is the development of clinically useful “computational assays” for psychiatry and psychosomatics. Based on generative models of brain activity and behaviour, the hope is that such assays will support more precise diagnostics and individualized treatment recommendations, leading to a transformation of clinical practice and redefinition of mental diseases. Current research foci include psychosis and brain-body interactions in fatigue and depression. In order to enable the clinical validation of his work, Klaas founded the Translational Neuromodeling Unit (TNU) at Zurich, an interdisciplinary institution with the mission to translate advances in computational neuroscience into tools for clinical practice. The TNU assembles computational scientists and clinicians under one roof and operates a dedicated research clinic for evaluating the diagnostic and prognostic utility of computational assays in prospective patient studies.

Ashley is a postdoctoral researcher in the Embodied Computation Group (ECG) at Aarhus University, Denmark. Her research interests focus on the effects of noradrenaline on uncertainty and decision-making, and how these may be compromised in neurodevelopmental disorders such as ADHD. She recently completed a large-scale within-subject MEG study investigating the effects of central versus peripheral noradrenergic perturbation on predictive processing, interoception, and metacognition.

Before moving to Denmark, Ashley completed her PhD as part of the Wellcome Trust Neural Dynamics PhD Programme at the University of Bristol, UK, with Prof Rosalyn Moran, during which she applied both Dynamic Causal Modelling of EEG and fMRI data, and Active Inference modelling of behavioural data.

Lilian is a postdoctoral researcher in the Motivation, Decision and NeuroStimulation (MoDeS) lab at the University of Oxford. She studies how we form and update beliefs about the world and ourselves in changing environments, how belief updating and decision making depends on neurochemistry, and how it changes across mental health conditions. To that end, she combines computational models with measures of behaviour and brain function and non-invasive brain stimulation (focussed ultrasound).

Prior to coming to Oxford, she completed her PhD in Translational Neuromodeling with Klaas Enno Stephan and Frederike Petzschner at the ETH Zurich in Switzerland. There, she used hierarchical Bayesian models, pharmacology, and EEG to understand how we process sensory signals in the auditory and in the interoceptive domain. Lilian holds a German diploma (MSc) in psychology and a BSc in physics, both from the Philipps University Marburg in Germany.

Marie Zipser did her state exam in medicine in Germany 2007 and a Master in medical Biology at Zurich University in 2009. She was trained afterwards in general Internal Medicine and Psychiatry and Psychotherapy with board certification in Switzerland (FMH). She holds a certificate of proficiency in Psychosomatic and Psychosocial Medicine of the SAPPM and works currently in the centre of psychosomatics at Sanatorium Kilchberg.

Roland von Känel, MD, is Chair of Consultation-Liaison Psychiatry and Psychosomatic Medicine at the University of Zurich and Director of the Department of Consultation-Liaison Psychiatry and Psychosomatic Medicine at the University Hospital Zurich. He is an internist, psychiatrist and psychotherapist, specialized in psychosomatic medicine. His research interests include biobehavioral pathways linking psychological stress with cardiovascular disease and persistent somatic symptoms.