Rita Almeida

Rita Almeida is an Associate Professor at the Department of Psychology and a Senior Lecturer in neuroscience with a focus on brain imaging analysis at the Department of Linguistics of Stockholm University. She is also the Director of the Stockholm University Brain Imagine Center. She has a background in physics and a PhD on analysis and modeling of neuroimaging data. Her main research focus is on modeling behavioral data and its neuronal correlates.

 

Micael Andersson

Micael is a staff scientist, working part-time at Umeå Center for Functional Brain Imaging and at the Department of Medical and Translational Biology, with experience of fMRI-data since 2004. He is mainly working with data management, processing and analyses of brain imaging data. His work has mainly regarded fMRI and anatomic MRI from single-patient analyses to large longitudinal projects. He is experienced in programming, including technical programming, user-interface and backend development, mainly in programming languages C/C# and Matlab.

Sirio Cocozza

Sirio Cocozza obtained his medical degree in 2012 and completed his radiology residency in 2018, both from the University of Naples "Federico II," where he earned top honors. He went on to complete a Ph.D. in Neuroimaging in 2021, with research focusing on advanced MRI techniques applied to the cerebellar cortex. Currently, he is a Neuroradiologist and a Postdoctoral Fellow at the same institution, balancing clinical responsibilities with ongoing research. Dr. Cocozza’s research investigates MRI biomarkers to understand disease mechanisms and progression, particularly in multiple sclerosis and degenerative ataxias. His work involves quantitative MRI and imaging biomarker profiling, also exploring structural and functional brain networks modifications. Dr. Cocozza has received the “Global Neuroradiology Award” from AJNR in 2024. He has published over 150 articles, with an h-index of 28, and he holds editorial positions at BMC Neurology and PLOS ONE.

Simon Eickhoff

Simon Eickhoff is a full professor and chair of the Institute for Systems Neuroscience at the Heinrich-Heine University in Düsseldorf and the director of the Institute of Neuroscience and Medicine (INM-7, Brain and Behavior) at the Forschungszentrum Jülich. He is furthermore a visiting professor at the Chinese Academy of Science Institute of Automation. Working at the interface between neuroanatomy, data-science and brain medicine, he aims to obtain a more detailed characterization of the organization of the human brain and its inter-individual variability, in order to better understand its changes in advanced age as well as neurological and psychiatric disorders. This goal is pursued by the development and application of novel analysis tools and approaches for large-scale, multi-modal analysis of brain structure, function and connectivity, as well as by machine-learning for single subject prediction of cognitive and socio-affective traits, and ultimately precision medicine.

Birte Forstmann

Birte Forstmann is a Professor for Cognitive Neurosciences at the University of Amsterdam, and scientific director of the Amsterdam Brain & Cognition Center. She earned her PhD in 2006 at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. After completing her postdoc in 2008 at the University of Amsterdam, she became tenured Research Fellow at the Cognitive Science Center Amsterdam with the focus of model-based cognitive neurosciences. Since then she has contributed to a range of topics in cognitive neuroscience, experimental psychology, mathematical psychology, and also in quantitative neuroanatomy. Despite its diversity, her work is motivated by a single strong conviction, namely that behavioral data and brain measurements need to make contact with psychological theory via concrete mathematical models of latent cognitive processes. A recurrent theme in her work is the development and testing of quantitative models of cognition.

Peter Fransson

Peter Fransson is a Professor at Dept. of Clinical Neuroscience, Karolinska Institutet. He worked within the field of functional magnetic resonance imaging since 1995.  Starting in 2005, the focus of his research has been the brain’s structural and functional connectome. He authored or co-authored more than 100 peer-reviewed papers in the field of functional brain mapping.

Benjamín Garzón

Benjamín Garzón is a Research Fellow at the Zurich Centre for Neuroeconomics, University of Zurich, Switzerland. He received his Ph.D. from the Norwegian University of Science and Technology, focusing on clinical applications of magnetic resonance imaging. He subsequently held research positions at the Karolinska Institute, the University of Gothenburg and the University of Zurich. His research interests include skill learning and neuroplasticity, decision making, and quantitative analysis methods for neuroimaging and behavioural data. He has taught graduate courses in various data science topics.

William Hedley Thompson

William Hedley Thompson is an Associate Professor in Cognitive Science. His work focuses on how dynamic and interconnected processes unfold in the brain and behavior. This involves developing and applying methods from network theory to neuroimaging data to quantify interactions between different brain systems. He apply these methods across a variety of populations, including individuals with bipolar disorder, chronic fatigue, and chronic pain. Recently, his research has increasingly focused on interpretable network measures and the stability of neurocognitive network profiles. He has also developed and contributed to several software tools, including teneto and netplotbrain.

Alexander Kvist

Alexander Kvist is a PhD student in the Franzén group at Karolinska Institutet with a background in medical engineering, focusing on gait and balance research in neurodegenerative populations. His research explores complex walking in Parkinson’s disease, examining motor behavior, cognitive-motor interference, and neural correlates during concurrent cognitive tasks and walking. He also works at the uMOVE core facility, providing research services for the exploration of movement and behavior at different scales. His interests include motor control, fNIRS methodology, IMU sensors, and machine learning.

Karin Markenroth Bloch

Karin Markenroth Bloch is the facility manager of the National 7T MR facility, with a M.Sc. in Engineering Physics and a Ph.D. in Subatomic Physics. She has experience from working with MR in the healthtech-industry, clinical setting and since 2016 she works exclusively with ultra-high field MR at Lund University. Markenroth Bloch has authored around 100 research papers and book chapters, and co-edited a recent book on ultra-high field neuro MR. She is active in national and international societies, and is currently on the presidential track in ESMRMB. She regularly lectures in M.Sc. and Ph.D. courses on different faculties, and participates in public science outreach initiatives.

Granville Matheson

Granville Matheson is an Assistant Professor at Karolinska Institutet who has been working with PET imaging for over a decade, both in Sweden and abroad. His research primarily involves methodological development and evaluation as well as applying these methods to answer clinical research questions within psychiatry. He is a strong proponent of open science and has been closely involved in the development of BIDS standards for both PET data and PET Derivative data. He is the lead developer of open-source tools including kinfitr for PET kinetic analysis and the bloodstream BIDS app for PET blood processing.

Johan Mårtensson

Johan Mårtensson, Associate professor in cognitive neuroscience from Lund University. Johan conducts longitudinal studies into how different types of tissue change in our brains when we learn, with a recent focus on language learning using Virtual Reality.

Lars Nyberg

Lars Nyberg serves as Professor of Psychology and Neurosciences at Umeå University, Sweden. He has been active in the field of functional neuroimaging of memory since 1994. He is the founding director of Umeå Center for Functional Brain Imaging (UFBI), and a principal investigator of the Betula longitudinal project on aging, memory and dementia. Since 2008 he is a member of the Royal Swedish Academy of Sciences. Nyberg’s research is focused on the identification of genetic, brain, and life-style predictors of heterogeneity in cognitive-aging profiles.

Marcus Nyström

Marcus Nyström is an Associate Professor of Ergonomics at Lund University Humanities Lab, where he also serves as a Research Engineer. He earned his PhD in Information Theory in 2008. With over 20 years of experience in research and teaching, Marcus specializes in eye movements and eye tracking methodology. He is a co-author of a leading textbook in the field and has published more than 80 articles on these topics.

Martin Nørgaard

Martin Nørgaard is a biomedical engineer and neuroscientist working to understand and improve the reliability and reproducibility in medical image analyses. He has a particular interest in understanding how methodological variability affects the interpretations of neuroimaging data, and how machine learning, open science and modern software practices can contribute to this. He completed his bachelor's and master's degree in biomedical engineering at the Technical University of Denmark (DTU), specializing in advanced signal processing, medical image analysis and machine learning. He did my PhD in Neuroscience at the Neurobiology Research Unit, Rigshospitalet, University of Copenhagen, in collaboration with the University of Toronto (2016-2019). During his PhD he spent 5 months in the Laboratory for Computational Neuroimaging at the Martinos Center at MGH/Harvard/MIT. He was a DFF International Postdoctoral Fellow with Russ Poldrack at Stanford University (2020-2022).

As of 2023, Martin Nørgaard is working as an Assistant Professor at the Department of Computer Science, University of Copenhagen. He is also affiliated faculty in The Danish Pioneer Centre for Artificial Intelligence (AI) and senior scientific consultant to The Molecular Imaging Branch and The Data Science/Sharing Team at the National Institute of Mental Health (NIMH), Bethesda, USA.

Joana B. Pereira

Joana B. Pereira is an Associate Professor at Karolinska Institute, where she leads the Brain Connectomics Lab. Her research interests include neuroimaging, blood and cerebrospinal fluid biomarkers, brain connectivity and machine learning. She has authored more than 100 articles and reviews, and has co-developed BRAPH, an open-access software for analyzing brain connectivity using graph theory and deep learning. She also co-authored the book "Deep Learning Crash Course" (No Starch Press, 2024), is the scientific coordinator of an European Alliance focused on neurotechnology - NeurotechEU - at KI, and the chair of the interdisciplinary conference “Emerging Topics in Artificial Intelligence”. Finally, she is the recipient of the prestigious 2021 De Leon prize for best neuroimaging article in Alzheimer’s disease.

Christoph Pfeiffer

Christoph earned his PhD from Chalmers University of Technology developing on-scalp magnetoencephalography (MEG) systems. Following a postdoc at Aalto University in Finland focusing on the development of optically pumped magnetometer (OPM) MEG sensors he returned to Sweden where he serves as an Assistant Professor at the Karolinska Institute and Head of the Swedish National Facility for Magnetoencephalography. His research there focuses on novel MEG sensors and methodologies, and their use in epilepsy.

Gustaf Rådman

Gustaf Rådman is a PhD student at Lund University. His work focuses on the structural and functional integrity of the medial temporal lobe in aging, both assessed in the context of neurodegenerative disease and in healthy aging. For this, a range of tools are used including high-resolution structural MRI, biomarkers of neurodegeneration, as well as behavioral experiments focused on memory combined with eye tracking.