I did a Medicine and Neuroscience BSc at Cambridge University and Clinical Medicine at UCL. I worked as a medical and psychiatric doctor in North London from 2004-10. From 2009-10 I did an MSc in the Philosophy of Mental Disorder at KCL. 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. From 2018-22 I was an MRC Skills Development Fellow in Prof Janaina Mourao-Miranda's group in the Centre for Medical Image Computing and Max Planck UCL Centre for Computational Psychiatry and Ageing Research. 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). My UCL webpage is here.

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I am a postdoc at the TCP Lab, where I am investigating computational approaches to goal planning using recurrent neural networks (RNNs) and empirical data from rodent and human experiments. I am part of the Wellcome Goal Planning in Psychosis (GPS) project, where we will investigate how goal planning may break down in schizophrenia.

I studied psychology at the University of Marburg before completing my Ph.D. in computational neuroscience at the Bernstein Center for Computational Neuroscience and the Charité University Hospital in Berlin, under the supervision of Philipp Sterzer (2018-22). My doctoral research examined sensory information processing in psychosis, with a particular focus on testing predictive processing accounts of the schizophrenia spectrum through visual and auditory psychophysics experiments.

Following my Ph.D., I was a postdoc at the University of Marburg within the research cluster The Adaptive Mind (2022-25). There, I worked with Dominik Endres on graph-theoretic approaches to sensory information processing and decision-making in health and disease, with a special interest in partially observable Markov decision processes (POMDPs) and active inference.

I am a postdoc at the TCP Lab, where I am investigating mechanisms of auditory hallucinations using both biophysical models of EEG data and spiking neural network models of speech perception.

I completed my PhD in Computational Neuroscience (2020–2025) at Ruhr University Bochum under the supervision of Prof. Dr. Sen Cheng. My doctoral work examined the role of episodic memory in spatial navigation using deep reinforcement learning models, focusing on how different strategies of memory use affect learning speed, behavioral patterns, and neural representations in tasks inspired by rodent studies. 

Before my PhD, I earned an MSc in Systems and Control from the University of Twente in the Netherlands.

Broadly, I am interested in computational modeling, memory, and perception, and I aim to develop biologically grounded models that help explain the neural mechanisms underlying hallucinations.

I am a postdoctoral researcher at the TCP Lab, working under the supervision of Prof Rick Adams since July 2026. Before joining the lab, I worked as a medical doctor in Japan from 2015, specialising in psychiatry from 2017.

My research focuses on schizophrenia, particularly the sense of agency—the feeling of initiating and controlling one's own actions and their effects on the external environment. 

I completed my PhD in Medicine (2021–2025) at Keio University in Tokyo, where I studied the hierarchical structure of the sense of agency in schizophrenia. I found that lower-level sensorimotor processing was substantially impaired, whereas higher-level self-attribution judgements were relatively less affected—offering a new hierarchical framework for reconciling apparently conflicting findings in the field.

At the TCP Lab, I am extending this work to the social dimensions of the sense of agency in schizophrenia by developing behavioural paradigms that simultaneously measure self- and other-related agency and applying Bayesian models to characterise how social interaction reshapes internal predictive models. Through this work, I aim to establish a computational framework for understanding self-disturbances in schizophrenia during social interaction.

Dr Marco De Pieri obtained his medical degree from the University of Padua, Italy, before earning his FMH in psychiatry and psychotherapy in Switzerland (in Lugano, then Geneva). In parallel, he obtained a PhD in psychopharmacology and pharmacogenetics from the University of Varese, Italy, including a fellowship period at the UPPC of the CHUV in Lausanne. His training was completed by the European diploma as a specialist in sleep medicine and by a four-year training in cognitive-behavioral psychotherapy. He is currently working at Geneva University Hospital as an attending physician, particularly in a unit specialized in the negative and cognitive symptoms of schizophrenia.

His research activity is anchored around EEG, as a means of capturing brain activity in its essential nature as a set of electromagnetic oscillations, in order to establish a link with fundamental pathophysiological mechanisms. His main current focus lies on the biological bases of psychosis and negative symptoms, as well as on the detection of features useful for guiding the personalization of treatments. He currently is the principal investigator of the study: "EEG monitoring of response to antipsychotic treatment: an observational study", which aims to develop a predictive model of response and resistance to antipsychotic medications. This study represents one of the largest data collection to date on minimally medicated patients with acute psychosis.

I am an incoming postdoc at the TCP Lab, where I will investigate in vivo imaging measures of excitatory/inhibitory balance using magnetoencephalograhy (MEG) and magnetic resonance spectroscopy (MRS).

In 2021-22 I was a Fulbright Scholar in the lab of Dr. Robb Rutledge at Yale University, where I worked on computational models of momentary mood and motivation based on data collected remotely from smartphones.

In 2016-17 I worked at the National Health and Medical Research Council (NHMRC) of the Australian Government, assisting with the translation of research findings into clinical practice guidelines and public health policy.

I have also undertaken internships at the World Health Organization headquarters in Geneva (2015), at the Grattan Institute in Melbourne (2015), and at Akim Oda Government Hospital in Ghana (2013).

I am interested in bringing computational tools out of the lab and into the clinic to improve treatment forpeople with psychiatric and neurological disorders.

I am a second year PhD student at KCL, supervised by Dr Izaak Neri, Prof Rick Adams and Dr Dan Bush. I am interested in mathematical modelling of neural circuits and how their functioning might be peturbed in conditions like psychosis.

I am a second year PhD student at the TCP lab. I'm interested in cognitive models of psychosis.

I am an incoming PhD student at UCL. My research interests centre on understanding how alterations in brain activity and connectivity across the schizotypy spectrum contribute to the development of schizophrenia spectrum disorders.

I am a third year PhD student at UCL, supervised by Prof Sarah Garfinkel and Prof Rick Adams. I am interested in interoception and its relation to mental health conditions.