Andreea Diaconescu, Assistant Professor University of Toronto
Dr Andreea Diaconescu is an Independent Scientist at the Krembil Centre for Neuroinformatics at CAMH and Assistant Professor in the Department of Psychiatry at the University of Toronto.
Prior to this, Andreea worked as a Junior Group Leader supported by the Swiss National Foundation (Ambizione grant) at the University in Basel in the Department of Psychiatry. There, she led a project on early detection of psychosis using neurocomputational models of persecutory ideation fit to behaviour and neuroimaging data. After completing her PhD in Cognitive Neuroscience with Prof. Randy McIntosh at the Rotman Research Institute (University of Toronto), Andreea held a postdoctoral position at the Translational Neuromodeling Unit (University of Zurich and ETH Zurich). Under the supervision of Prof. Klaas Enno Stephan, she developed computational models of social learning and decision-making and validated them in pharmacological EEG and fMRI studies.
Andreea maintains several collaborations in Switzerland, Italy, Germany, the Netherlands, and the UK. Those projects focus on symptom-specific computational models of aberrant learning in several psychiatric disorders, including schizophrenia, autism, borderline personality disorder, and antisocial personality disorder.
At the Krembil Centre for Neuroinformatics, Andreea focuses on neurocomputational modelling of suicidal ideation in psychoaffective disorders.
Daniel Hauke, PhD Student University of Basel
Daniel Hauke obtained a Bachelor of Science in Psychology in 2014, after studying at the Georg-August-University Goettingen, Germany, and the Universidade Federal do Ceará in Fortaleza, Brazil. He received his Master of Science degree in Cognitive and Clinical Neuroscience in 2016 following studies at Maastricht University, the Netherlands, and the Translational Neuromodeling Unit, University of Zurich and ETH Zurich, Switzerland. He is now enrolled as doctoral student in the computer science department of the faculty for natural sciences at Basel University, as well as a PhD student in the doctoral program for Data Analytics and an external PhD student at the Neuroscience Center Zurich (ZNZ).
Currently, Daniel Hauke is working in an interdisciplinary project which attempts to exploit generative models, such as the Hierarchical Gaussian Filter and Dynamic Causal Modelling, to investigate the formation and persistence of persecutory delusions in psychosis. He examines the clinical utility of these models with machine learning.