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. 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. 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. 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. Rosa Rademakers
Project
‘Using bioinformatic approaches to better understand Frontotemporal Dementia’
Project
‘Using bioinformatic approaches to better understand Frontotemporal Dementia’