From 2010-14, I did my PhD at the Wellcome Centre for Human Neuroimaging at UCL, supervised by Prof Karl Friston. From 2014-18, I was an NIHR Clinical Lecturer in Psychiatry at UCL (Division of Psychiatry and Institute of Cognitive Neuroscience), in Prof Jon Roiser's group. In 2016 I took up a Bogue Fellowship to study at Yale University in Dr Alan Anticevic's group. I've also enjoyed fruitful collaborations with Prof Oliver Howes (KCL, Imperial), Prof Neil Burgess (UCL) and Prof Mark Edwards (St. George's). From 2018-22 I was an MRC Skills Development Fellow in Prof Janaina Mourao-Miranda's group in the Dept of Computer Science. I am currently a Future Leaders Fellow in the Institute of Cognitive Neuroscience (Division of Psychiatry) and Centre for Medical Image Computing (Dept of Computer Science), trying to identify neurobiological variation within the psychosis spectrum that could be relevant for glutamatergic treatments.

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 studied Neuroscience and Psychology at the University of Otago, and obtained my MSc degree in 2022. Since 2023 I am a doctoral student at the Translational Neuromodeling Unit, where my research focuses on measuring respiratory interoceptive processing in the insula using EEG and MEG.

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.

Jean Daunizeau, 47 y.o., is an INSERM researcher, and is currently co-heading the team “Motivation, Brain and Behavior” at Paris Brain Institute (France). He holds a BSc in psychology, a PhD in physics from Université de Montréal (Montréal, Canada) and a PhD in medical imaging from Université Paris XI (Paris, France). He completed his post-doctoral research training at University College London (2006-2009) and at University of Zurich (2009-2012).

His expertise spans cognitive and computational neurosciences (about a hundred published articles, with 19,000 citations - see his Google Scholar profile). In addition, he is an editorial board member of established academic journals (e.g.: PLoS Computational Biology)) and is regularly teaching at international graduate programs (e.g.: Eco&Psycho Msc program at Paris School of Economics). Finally, he is a scientific advisory board member for two companies that focus on burnout and professional coaching.

Réka Enz studied Cognitive Science at the University of Osnabrück. She moved to Zürich in 2020 to pursue a Masters Degree in Neural Systems and Computations. Since 2021 Réka has worked in close collaboration with the Translational Modeling Unit, starting as a Research Assisstant, working on her thesis project, and later as a Research Coordinator at UZH and the Schulthess Clinic. She recently started as a doctoral student at the Schulthess Clinic and ETH Zurich focusing on digital medicine for chronic pain patients.

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. Besides research, Herman enjoys bouldering, entrepreneurship, and socializing over (good) food.

Dr. Catherine Hartley is an Associate Professor of Psychology and Neural Science at New York University. She received her B.S. in Symbolic Systems from Stanford University and her PhD in Psychology from New York University. Her research focuses on characterizing how dynamic changes in brain circuits from childhood to adulthood influence the learning, memory, and decision-making processes that support goal-directed behavior. Dr. Hartley’s research has been supported by the National Science Foundation, the National Institutes of Mental Health and Drug Abuse, and the excellence of her research has been recognized with early career awards from the National Academy of Sciences, the Association for Psychological Science, the Society for Neuroeconomics, the Cognitive Neuroscience Society, and the Social Affective Neuroscience Society. A central goal of her research is to understand the adaptive benefits of how individuals learn and make decisions at different developmental stages, as well as how specific learning and decision-making biases contribute to psychological vulnerability or resilience.

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 Stewart Heitmann is the creator of the Brain Dynamics Toolbox and Senior Staff Scientist at the Victor Chang Cardiac Research Institute in Sydney, Australia (victorchang.edu.au). He uses computer simulations of cardiac electrophysiology to study the genesis of arrhythmias in the heart. His work spans computational cardiology, computational neuroscience and applied mathematics.

Alex Hess received his Bachelor's and Master's Degrees from ETH where he studied Health Science and Technology and is currently a PhD candidate at the TNU. In his research, Alex investigates the role of brain-body interactions for mental health using computational models of respiratory interoception. Also, he has a general interest in Bayesian Statistics and Causal Inference. In his free-time he enjoys good food in good company and 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.

I got my PhD in Psychology from the University of Texas at Austin and have recently completed a postdoc at University College London's Max Planck Centre for Computational Psychiatry and Ageing Research. I am currently working as a postdoc at the University of Copenhagen. I am interested in metacognition, and specifically, how people form beliefs about themselves and how this relates to mental health. I am also interested in how mental training through meditation impacts cognition, consciousness, and self-beliefs. I employ a variety of techniques in my research including computational modelling, neuroimaging, and qualitative methods.

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.

Prof Nikolaos Koutsouleris is the Coordinator of the EU-FP7 funded project PRONIA ("Personalised Prognostic Tools for Early Psychosis Management"). He serves as consultant and Head of the Centre for Adolecent Psychiatry and Transitional Youth Mental Health and the Section for Precision Psychiatry, Ludwig-Maximilian-University, Munich (LMU). He also leads the group for Artificial Intelligence in Mental Health at the Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London. Dr. Koutsouleris studied medicine at LMU between 1996 and 2003 as scholar of the German National Academic Foundation. He took his first medical & academic appointment in 2004 at the Department of Psychiatry and Psychotherapy, where he finished his doctorate thesis in 2005. Since 2008, Prof Koutsouleris has advanced the use of multivariate pattern recognition methods for the identification and validation of diagnostic and prognostic prediction models in at-risk and early stages of affective and non-affective psychoses. His work was awarded with several national and international prizes and led so far to 205 peer-reviewed, highly cited papers. In addition, he strived to make robust machine-learning methods available to researchers in the clinical neurosciences in order to improve the methodological rigour of this new research direction based on the proper use of validation and model sharing approaches. These efforts have the lead to the publication of the open-source NeuroMiner machine learning platform available at http://www.proniapredictors.eu/neurominer/index.html.

Eunhwi is a graduate student in Psychology at SNU (March 2022-Present). She graduated from SNU in Feb 2022 with a B.A. in Psychology, minoring in Brain-Mind-Behavior at SNU. She is broadly interested in the diagnosis/classification of psychiatric disorders and the development of individualized treatments. Especially, she wants to investigate maladaptive decision making and addictive behavior by using neuroscientific approaches and computational methods.

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.

Dr. Johan Medrano is a postdoctoral research fellow in the Methods group at the Functional Imaging Laboratory, UCL Queen Square Institute of Neurology. Johan specializes in statistical methods to assist neuroscientists in testing hypotheses derived from neuroimaging data. His primary research focus is on extending Dynamic Causal Modelling to link cortical and behavioural responses to experimental variance in naturalistic settings. He contributes to the ongoing development of the SPM software.

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.

Dr Camilla Nord is a Programme Leader at the MRC Cognition and Brain Sciences Unit, University of Cambridge, and Assistant Professor of Cognitive Neuroscience at the Department of Psychiatry. Her lab's goal is to discover how cognitive and computational neuroscience can be translated into better treatments for mental health conditions. She is also Director of the MPhil in Cognitive Neuroscience at Cambridge, and Fellow and Director of Studies in Psychological and Behavioural Sciences at Christ's College Cambridge. Camilla studied Physiology and Psychology at Magdalen College Oxford as an undergraduate before completing her doctorate in neuroscience with Jonathan Roiser at University College London, and postdoctoral training at the University of Cambridge with Valerie Voon and Tim Dalgleish. Camilla's work has been recognised by various awards, including the European Society of Cognitive and Affective Science Young Investigator Award, and the Association for Psychological Science's Rising Star. She currently holds an eight-year Wellcome Career Development Award fellowship, and jointly leads an international team investigating the role of interoception in anxiety and depression via a Wellcome Mental Health Award. Camilla also has a particular interest in science communication for the public, including her recent book The Balanced Brain: The Science of Mental Health, a Sunday Times and Financial Times Book of the Year.

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 am currently a postdoctoral researcher at the Donders Institute, where I focus on harmonizing cognitive scales across databases to improve prediction of schizophrenia outcomes. My work draws on my background in artificial intelligence, statistics, and computational biology. I completed my Ph.D. at the Czech Technical University in Prague, where I developed methods for multi-modal neuroimaging data analysis. Throughout my career, I've contributed to national health initiatives in the Czech Republic and have been grateful for support from grants such as the Fulbright Fellowship at the University of Pennsylvania.

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.

Jeongyeon is a graduate student in the Department of Psychology at Seoul National University (Spring 2023 - Present). She graduated from Seoul National University in Feb 2022 and recieved B.A. in Psychology and Child Development & Family Studies. She is broadly interested in the development of individualized, preventive treatments and diagnosis of psychiatric disorders. She hopes to identify novel markers of psychiatric disorders and treatment outcomes by using neurosicentific approaches and computational methods. She is also interested in the neurocognitive mechanisms of decision making, especially how envrionmental factors are considered when making decisions. As a reasearch assistant in the CCS lab, she hopes to learn computational/neuroscientific approaches to the human mind and develop computational skills.

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.

Peter Thestrup Waade is a PhD candidate in Cognitive Science at Aarhus University. He works with computational modeling, especially within predictive processing, and applies it to social coordination. He has developed the Julia software for the Hierarchical Gaussian Filter and works continuously on its development. He also works within active inference and computational psychiatry, as well as motion capture and movement synchrony, applied to partner dancing.

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.