PhD Candidate — Zurich Center for Neuroeconomics (ZNE), University of Zurich
Pakita van Puyenbroeck
Studying mechanisms of social inference and multisensory processing in autism.
About

Hi There! I'm a PhD candidate at the Zurich Center for Neuroeconomics, University of Zurich, where I study how social inference and multisensory processing differ in adolescents with autism. My early academic career so far has stretched across different fields within neuroscience, which characterizes my experience as a researcher as almost a mosaic of different angles to look at this complex system: our brain
My path into neuroscience started in Antwerp, where I studied Biomedical Sciences, and from the start of my studies, I had a deep interest in human behavior and how it differed in psychiatric disorders. This led me to a research internship in translational molecular psychiatry at the University of Zurich, where I worked on stem cell models of ADHD.
Because I had the opportunity to get to know how cool it was to create my own neuronal cells, I started my master’s thesis on organellar dynamics in neuronal models of Lowy Body Disorders at the University of Leuven.
However, I missed the connection from molecular neuroscience to real human behavior. This led me to change fields and move into the computational and psychophysiological side of human memory formation and decision-making at the University of Hamburg as a research assistant. Here, I did a study on how a change in pupil diameter can reveal something about how the brain decides what's worth remembering.
Now I am super excited to be doing my PhD, combining my prior interests in psychiatry with the field of human decision-making at the Center for Neuroeconomics at the University of Zurich. I'm drawn to questions that sit between biology and behavior: How changes in social inference and sensory responsiveness interact, leading to the complex landscape of autism spectrum disorder.
Research
Publications
Background
04/2025 - Present
PhD Candidate
Zurich Center for Neuroeconomics, University of Zurich
Supervisors: Prof. Christian Ruff and Prof. Philippe Tobler
Project
Identifying Symptoms and Neurocognitive Mechanisms that Influence Success of a Virtual Reality Intervention in Adolescents and Young Adults on the Autism Spectrum.
Project
Identifying Symptoms and Neurocognitive Mechanisms that Influence Success of a Virtual Reality Intervention in Adolescents and Young Adults on the Autism Spectrum.
03/2024 - 11/2024
Research assistant at the Donner Lab, Section Computational Cognitive Neuroscience
University Medical Center Hamburg-Eppendorf, Germany
with Prof. Dr. Tobias Donner
Project
‘The impact of pupil-linked arousal systems on memory-based decisions in healthy human participants’
Project
‘The impact of pupil-linked arousal systems on memory-based decisions in healthy human participants’
09/2023 - 1/2024
Research internship/master thesis
VIB-KU Leuven Center for Brain & Disease Research, Catholic University Leuven, Belgium
with Prof. Dr. Wim Annaert
Project
‘Exploring common molecular mechanisms underlying Lewy Body Diseases with a focus on organellar homeostasis’
Project
‘Exploring common molecular mechanisms underlying Lewy Body Diseases with a focus on organellar homeostasis’
07/2022 - 12/2022
Research internship in the Translational Molecular Psychiatry Research lab at the Klinik für Kinder- und Jugendpsychiatrie und Psychotherapie (KJPP)
University of Zurich, Switzerland
with Prof. Dr. Edna Grünblatt.
Projects
‘Methylphenidate: Investigations of the molecular Mechanisms of action’
‘Induced pluripotent stem cells from hair follicle to study neurodevelopmental disorders such as ADHD’
Projects
‘Methylphenidate: Investigations of the molecular Mechanisms of action’
‘Induced pluripotent stem cells from hair follicle to study neurodevelopmental disorders such as ADHD’
04/2021 - 05/2021
Research internship bachelor thesis in the Applied and Translational Neurogenomics unit at VIB- Antwerp Center for Molecular Neurology (CMN)
Antwerp, Belgium
With Prof. Dr. Rosa Rademakers
Project
‘Using bioinformatic approaches to better understand Frontotemporal Dementia’
Project
‘Using bioinformatic approaches to better understand Frontotemporal Dementia’