Prof. Andrew Zalesky

University of Melbourne

Dr. Andrew Zalesky is an Associate Professor in Engineering and Medicine at the University of Melbourne, Australia. He completed his Ph.D. in Electrical Engineering at the same institute in 2007. Adopting an engineering mindset to study the brain has enabled Dr. Zalesky to innovate novel methods and models to understand the network organization of the human connectome in health and disease. He established one of the most widely used tools for performing statistical inference on connectomes, co-authored the first textbook on brain network analysis, and led the development of the Melbourne Subcortex Atlas. Dr. Zalesky is ranked among the top 1% of researchers worldwide, according to citations of his work (2018-2021) and he was recently voted by his peers as one of Australia's most innovative biomedical engineers. He currently holds a Senior Research Fellowship from the Australian National Medical and Health Research Council and serves as an Associate Editor for Network Neuroscience, Brain Topography and Neuroimage Clinical.

Website: http://www.sysneuro.org/

Twitter: https://twitter.com/andrewzalesky

Prof. Aina Puce

Indiana University

Dr. Aina Puce is the Eleanor Cox Riggs Professor of the Department of Psychological and Brain Sciences at Indiana University in Bloomington. She received her Masters of Applied Science in Physics from Swinburne Institute of Technology in Melbourne, Australia and her Ph.D. in Medicine from the University of Melbourne. She then went on to do a postdoctoral fellowship in Neurosurgery at Yale University and has held faculty positions at Swinburne University of Technology, West Virginia University, and currently Indiana University. Dr. Puce was initially trained as a biophysicist, and then as a cognitive neuroscientist. During her postdoctoral training, she focused on neuroimaging the brain basis of face perception. Dr. Puce’s current research program is devoted to understanding the neural basis of social cognition - the ability to interpret the actions, intentions and emotions of others. Implicit/explicit aspects of non-verbal communication is a main theme, as is the context in which the action occurs. Experiments use multimodal neuroimaging methods, including behavior, EEG, fMRI, event-related response, eye tracking and white matter tractography. 

 Website: https://psych.indiana.edu/directory/faculty/puce-aina.html

 Twitter: https://twitter.com/aina_puce

Prof. Robert Zatorre

McGill University

Dr. Robert Zatorre is a cognitive neuroscientist whose laboratory studies the neural substrates for auditory cognition, with special emphasis on two complex and characteristically human abilities: speech and music. He and his collaborators have published over 280 scientific papers on topics including pitch perception, auditory imagery, absolute pitch, perception of auditory space, and the role of the mesolimbic reward circuitry in mediating musical pleasure. His research spans all aspects of human auditory processing, from studying the functional and structural properties of auditory cortices, to how these properties differ between the hemispheres, and how they change with training or sensory loss. His lab makes use of functional and structural MRI, MEG and EEG, and brain stimulation techniques, together with cognitive and psychophysical measures. In 2006, Dr. Zatorre became the founding co-director of the international laboratory for Brain, Music, and Sound research (BRAMS), a unique multi-university consortium with state-of-the-art facilities dedicated to the cognitive neuroscience of music. In 2011 he was awarded the IPSEN foundation prize in neuronal plasticity. In 2013, he won the Knowles prize in hearing research from Northwestern University, and in 2017 he was elected to the Royal Society of Canada. In 2020, he was awarded the C.L. de Carvalho-Heineken Prize in Cognitive Sciences, the most prestigious international science prize in The Netherlands.

Website: https://www.zlab.mcgill.ca/  
Twitter: https://twitter.com/zatorrelab?lang=en

Prof. Natasha Rajah

McGill University

Dr. Maria Natasha Rajah is a tenured Full Professor at McGill University with appointments in both the Departments of Psychiatry and of Psychology and is a CIHR Sex and Gender Chair in Neuroscience, Mental Health, and Addiction. Dr. Rajah serves as Editor-in-Chief for the journal Aging, Neuropsychology & Cognition; Senior Editor for the Cognition and Computation sections for the journal Brain Research; and recently joined as an Associate Editor for Psychological Science. Her research program uses behavioral and neuroimaging methods to understand the neurobiology of memory, aging and dementia. She is currently studying sex differences in brain aging and cognition, with an emphasis on understanding the effect of menopause on brain function at midlife. She received a prestigious Canadian Institute of Health Research New Investigator Salary Award from the Institute of Aging for 2007-2012, and a Junior 2 Fonds de Research Quebec – Sante Research Scientist Award (2013-2015). In 2012 she was selected as one of Quebec Science’s Top 50 Scientists under the age of 50 yrs and more recently in 2019 she received the Women in Cognitive Science Canada Mentorship Award and the Haile T. Debas Prize at McGill University for her work toward supporting equity and diversity at the Faculty of Medicine. 

 Website: http://rajahlab.com/

 Twitter: https://twitter.com/mnrajah

Prof. Lucina Uddin

University of California Los Angeles

Dr. Lucina Uddin is currently a Professor and co-director of the Center for Cognitive Neuroscience Analysis Core at the Semel Institute for Neuroscience and Behavior at the University of California Los Angeles. Prior to this, she was an Associate Professor in the Cognitive and Behavioral Neuroscience Division which she created in the Department of Psychology at the University of Miami. She directs the Brain Connectivity and Cognition Laboratory, which makes use of neuroimaging to better understand the relationship between neural connectivity and cognition. At the University of Miami, Dr. Uddin established a graduate program in cognitive and behavioral neuroscience. In 2018, she was appointed a CIFAR Azrieli Global Scholar. Her current research examines brain network dynamics and cognitive flexibility in neurodevelopmental disorders. Her lab focuses on investigating the relationship between brain connectivity and cognition in typical and atypical development. Within a cognitive neuroscience framework, the research combines functional connectivity analyses of resting-state functional magnetic resonance imaging data and structural connectivity analyses of diffusion-weighted imaging data to examine the organization of large-scale brain networks supporting high-level cognitive processes.

Website: https://www.semel.ucla.edu/bccl

Twitter: https://twitter.com/LucinaUddin

Prof. Jessica Damoiseaux

Wayne State University

Dr. Jessica Damoiseaux is an Associate Professor at the Institute of Gerontology and the Department of Psychology. Her main research goal is to understand the changes in brain function and cognition that accompany normal and abnormal aging. She is particularly interested in examining the influence of biological and cognitive predisposition on cognitive and brain network connectivity changes in healthy older adults. The primary approach Dr. Damoiseaux uses to study brain network connectivity is functional magnetic resonance imaging (fMRI). In addition, she uses other neuroimaging techniques, such as structural MRI and diffusion tensor imaging (DTI) to study brain structure and structural brain connectivity. Dr. Damoiseaux completed her Ph.D. in Cognitive Neuroscience at the VU University Medical Center in Amsterdam, the Netherlands in 2008 (advisors: Dr. Serge Rombouts and Dr. Philip Scheltens). She completed her undergraduate studies at Utrecht University in the Netherlands where she received her M.Sc. in Psychology in 2003. Before her assistant professorship at Wayne State, Dr. Damoiseaux worked at Stanford University as a postdoctoral research fellow in the Functional Imaging in Neuropsychiatric Disorders (FIND) Laboratory under PI Michael Greicius M.D.

Website: http://connectlab.wayne.edu/index.html

Twitter: https://twitter.com/jsdamoiseaux

Prof. Christian Windischberger

Medical University of Vienna

Dr. Christian Windischberger is an Associate Professor of Medical Physics and Deputy Head of MR Physics at the Center for Medical Physics and Biomedical Engineering at the Medical University of Vienna. Windischberger’s main interests lie within the development and application of methods for pushing the limits of functional MRI, in particular, connectivity assessment using both Dynamic Causal Modeling (DCM) and resting-state methods. The improvement and development of novel acquisition, data processing, and analysis methods are central topics of his group; his group’s newest hardware and methods developments allow for concurrent TMS/fMRI applications. He is the author of over 70 articles, cited over 12,000 times.  

Website: http://www.fmri.at/

Twitter: https://twitter.com/chris__wind

Prof. Michael Chee

National University of Singapore

Dr. Michael Chee is a Professor, at Duke-NUS Graduate Medical School and PI of the Cognitive Neuroscience Lab. He graduated as a medical doctor from the National University of Singapore in 1983. Further training in internal medicine and neurology was followed by a Fellowship in Epilepsy and Clinical Neurophysiology at The Cleveland Clinic Foundation where he developed an interest in magnetic resonance imaging and cognitive neuroscience. He was a special fellow at the Massachusetts General Hospital NMR Centre before setting up his lab. He built up his scientific credentials by publishing some seminal papers on the functional anatomy of the bilingual brain. In 2003, he switched focus to cognition in the context of sleep deprivation and healthy aging. His present research seeks to reduce the impact of degraded or restricted sleep on cognitive performance, well-being and health span. Dr. Chee uses objective measures of sleep, cognition, mood as well as physiological markers to tailor sleep-wake schedules for different age groups and individuals in a principled manner.

Website: https://medicine.nus.edu.sg/csc/research-labs/sleep-and-cognition-laboratory/

Twitter: https://twitter.com/mrsleepdep

Prof. Daniele Marinazzo

Ghent University

Dr. Daniele Marinazzo (PhD in Physics at the University of Bari, Italy) is currently a professor in the department of Data Analysis of the Faculty of Psychology and Educational Sciences of the University of Ghent, Belgium. He is a statistical physicist working mainly in the neurosciences. The research activity of his group focuses on methodological and computational aspects of neuroscience research, and on the dynamical networks subserving function. His work develops new techniques for inferring connectivity architectures from the dynamics of the recorded data, in challenging cases of short, noisy and redundant time series, as those encountered in neuroimaging. The group implements and validates novel methodologies and applies them, together with already established ones, in several multidisciplinary projects. Dr. Marinazzo  is Deputy Editor at PLOS Computational Biology, Co-Editor-in-Chief at Neurons, Behavior, Data analysis, and Theory, and academic editor at Network Neuroscience, NeuroImage, Brain Topography.

Website: https://users.ugent.be/~dmarinaz/

Twitter: https://twitter.com/dan_marinazzo

Prof. Anastasia Yendiki

Harvard University

Dr. Anastasia Yendiki is Associate Professor in Radiology at Harvard Medical School and Associate Investigator at Massachusetts General Hospital, Martinos Center for Biomedical Imaging. She received her Ph.D. in Electrical Engineering: Systems from the University of Michigan at Ann Arbor, where she worked on inverse problems in tomographic image reconstruction. She then came to the Martinos Center to learn about fMRI, but saw a tractography image on her first day and changed her mind. As a postdoc, she developed TRACULA, the diffusion tractography toolbox in the FreeSurfer software package. She is now on the faculty at the Martinos Center and a member of the Laboratory for Computational Neuroimaging (LCN), continuing to develop publicly available, open-source algorithms for studying white-matter anatomy in health and disease. Her current interests are in obtaining accurate models of white-matter fiber bundles from microscopy techniques, such as anatomic tracing and optical imaging, and developing methods that can take advantage of these post-mortem models to infer connectional anatomy from in vivo diffusion MRI.

 Website: https://scholar.harvard.edu/a-y

 Twitter: https://twitter.com/nastasiayendiki

Prof. Helen Zhou

National University of Singapore

Dr. Juan Helen Zhou is an Associate Professor at the Centre for Sleep and Cognition, and the Deputy Director at the Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore (NUS). She is also affiliated with the Department of Electrical and Computer Engineering, NUS. Her laboratory studies selective brain network-based vulnerability in neuropsychiatric disorders using multimodal neuroimaging and computational approaches. She received her Ph.D from the School of Computer Science and Engineering, Nanyang Technological University, Singapore. She did her multiple post-doctoral training at the Memory and Aging Centre, University of California, San Francisco, Computational Biology Program at Singapore-MIT Alliance, and Department of Child and Adolescent Psychiatry, New York University before joining Duke-NUS Medical School as a faculty member. Dr. Zhou has also served as a Council member and Program Committee member of OHBM. She also serves on the advisory board of Cell Reports Medicine and as an editor of Human Brain Mapping, Elife, and Communications Biology.

 Website: http://neuroimaginglab.org/

 Twitter: https://twitter.com/helenjuanzhou