Almeida, Rita
Rita Almeida is an 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 Imaging Center (SUBIC). 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.
Andersson, Micael
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. The work have 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.
Chang, Yu-Wei
Yu-Wei Chang is a postdoctoral researcher at Karolinska Institutet and one of the developers of BRAPH 2. His research combines network neuroscience, deep learning, and scientific software development, with a strong focus on reproducible and user-friendly analytical frameworks. He works on methods that support all levels of use, from no-code graphical interfaces to script-based workflows and the rapid creation of specialized software distributions.
Elliott, Maxwell
Max Elliott is an Assistant Professor in the Department of Psychology at the University of Minnesota. Before this position, Max received a PhD in Clinical Psychology at Duke University, where he worked with Ahmad Hariri, Terrie Moffitt, and Avshalom Caspi. Max then completed my clinical internship at McLean Hospital and worked for three years as a postdoctoral fellow with Randy Buckner at Harvard University. Max’s lab at the University of Minnesota studies individual differences in cognitive and brain aging with a focus on helping individuals maintain cognitive function as they age.
Gilmore, John
Dr. Gilmore is the Eure Distinguished Professor and Vice Chair for Research in the Department of Psychiatry at the University of North Carolina. His research focuses on early childhood brain development and how it contributes to risk for schizophrenia and other psychiatric disorders. Dr. Gilmore leads the UNC Early Brain Development Study, a longitudinal imaging study of brain development and its relationship to cognitive and behavioral development in over 1000 normal and high-risk children from birth through adolescence. Dr. Gilmore is also active clinically, directing the UNC Center for Excellence in Community Mental Health.
Klahn, Luisa
Dr. Luisa Klahn is a researcher at the Department of Psychiatry and Neurochemistry at the University of Gothenburg, Sweden. She received her PhD in Psychology from the University of Münster, Germany, where her work focused on threat predictability and the neural correlates of phasic fear and sustained anxiety in anxiety disorders using neuroimaging approaches. Dr. Klahn is also a licensed cognitive-behavioural psychotherapist with several years of clinical experience.
Her research integrates structural and functional brain imaging to investigate the neurobiology of psychiatric disorders, with a particular focus on bipolar disorder and ADHD. She is especially interested in longitudinal brain changes and how neuroimaging markers relate to cognitive performance, occupational functioning, and fluid biomarkers. Through this work, she aims to advance a better understanding of the neural mechanisms underlying clinical trajectories and functional outcomes in psychiatric disorders.
Kvist, Alexander
Alexander Kvist obtained his PhD at the Franzén group at the Department of Neurobiology, Care Sciences and Society at Karolinska Institutet. With a background in medical engineering, his research focuses on gait and balance in neurodegenerative populations. In addition to his research, Alexander works as a lab manager at the uMOVE core facility, supporting research on human movement and behavior across multiple scales. His methodological interests include motor control, fNIRS, IMU‑based motion analysis, and machine learning.
Pfeiffer, Christoph
Christoph earned his PhD from Chalmers University of Technology developing on-scalp magnetoencephalography (MEG) systems. Following a postdoc at Aalto University in Finland developing 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 and BCIs.
Schütt, Heiko
Heiko Schütt is currently associate professor for computational cognitive science and modelling at the university of Luxembourg. He develops models of visual processing and methods to evaluate such models on data. Previously, he was a PostDoc in New York where he led the development of the rsatoolbox and completed his PhD in Tübingen.