Riitta Hari, prof. emerita, Aalto University, Finland
Riitta Hari, MD PhD, is Distinguished Prof. (emerita) of Human Systems Neuroscience and Brain Imaging at Aalto University and Academician of Science (Finland). She has with her team pioneered the use of magnetoencephalography (MEG) to study sensory processing and motor control in healthy subjects and patient groups, with the main interest in the dynamics of human brain functions in naturalistic conditions. Recently she has advocated "two-person neuroscience" for the study of the brain basis of social interaction. In her OHBM talk "Timing matters" Riitta Hari will discuss the importance of timing in human brain function.
2019 Keynote Speakers
Danielle S. Bassett, Eduardo D. Glandt Faculty Fellow and Associate Professor, University of Pennsylvania Department of Bioengineering
Dr. Bassett is most well known for her work blending neural and systems engineering to identify fundamental mechanisms of cognition and disease in human brain networks. She received a B.S. in physics from Penn State University and a Ph.D. in physics from the University of Cambridge, UK as a Churchill Scholar, and as an NIH Health Sciences Scholar. Following a postdoctoral position at UC Santa Barbara, she was a Junior Research Fellow at the Sage Center for the Study of the Mind. She has received multiple prestigious awards, including American Psychological Association's ‘Rising Star’ (2012), Alfred P Sloan Research Fellow (2014), MacArthur Fellow Genius Grant (2014), Early Academic Achievement Award from the IEEE Engineering in Medicine and Biology Society (2015), Harvard Higher Education Leader (2015), Office of Naval Research Young Investigator (2015), National Science Foundation CAREER (2016), Popular Science Brilliant 10 (2016), Lagrange Prize in Complex Systems Science (2017), Erdos-Renyi Prize in Network Science (2018). She is the author of more than 200 peer-reviewed publications, which have garnered over 15500 citations, as well as numerous book chapters and teaching materials. She is the founding director of the Penn Network Visualization Program, a combined undergraduate art internship and K-12 outreach program bridging network science and the visual arts. Her work has been supported by the National Science Foundation, the National Institutes of Health, the Army Research Office, the Army Research Laboratory, the Office of Naval Research, the Department of Defense, the Alfred P Sloan Foundation, the John D and Catherine T MacArthur Foundation, the Paul Allen Foundation, the ISI Foundation, and the University of Pennsylvania.
Catie Chang, Ph.D., Vanderbilt University, Nashville, TN
Catie Chang is an Assistant Professor in the Department of Electrical Engineering and Computer Science and the Department of Biomedical Engineering at Vanderbilt University. Her research draws upon signal processing and computational methods to extract new information from fMRI data.
Roshan Cools, PhD., Radboud University Medical Center, Department of Psychiatry & Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging
Dr. Cools studies the chemistry of the adaptive mind: the motivational and cognitive control of human behaviour and its modulation by the major ascending neuromodulators (in particular dopamine and serotonin). She is an elected member of the Royal Netherlands Academy of Arts and Sciences and the Academia Europaea. She completed her undergraduate degree in Experimental Psychology at the University of Groningen, The Netherlands, in 1998. She then moved to Trevor Robbins’ lab at the University of Cambridge, UK, for an M Phil degree (1999), a PhD degree (2002), a St John’s College Junior Research Fellowship (2002-2006) and a Royal Society Dorothy Hodgkin Research Fellowship (2002 – 2006). She spent two post-doc years at UC Berkeley working with Mark D’Esposito from 2003, before moving back to Cambridge in 2005, where she obtained a Royal Society University Research Fellowship (2006 -2007). In November 2007 she returned to The Netherlands, where she is now Principal Investigator at the Donders Institute for Brain, Cognition and Behaviour and Professor of Cognitive Neuropsychiatry at the Radboud university medical center in Nijmegen, holding several prestigious awards, e.g. from the Dutch Organisation for Scientific Research (a Vici), the James McDonnell foundation (a scholar award) and the Royal Netherlands Academy of Arts and Sciences (a KNAW Ammodo award). She serves as active editor for the Journal of cognitive Neuroscience and the Journal of Neuroscience and is a member of the Advisory Council for Science, Technology and Innovation (to the Dutch government) and the Board of the Rathenau Institute.
Tianzi Jiang, PhD, Director of the Brainnetome Center, the Institute of Automation, the Chinese Academy of Sciences, Beijing, China
Professor Tianzi Jiang is Director of Beijing Key Laboratory of Brainnetome and Director of the Brainnetome Center at the Institute of Automation of the Chinese Academy of Sciences (CASIA), and Chief Professor at University of the Chinese Academy of Sciences. He is also a ChangJiang Professor at University of Electronic Science and Technology of China and Professor at Queensland Brain Institute, University of Queensland, Australia. He received his BSc degree from Lanzhou University in 1984 and PhD degree from Zhejiang University in 1994. He worked as a postdoctoral research fellow (1994-1996) and an Associate Professor (1996-1999), and full professor (1999-present) at CASIA. During that time, he worked as a Vice-Chancellor's Postdoctoral Fellow at the University of New South Wales, Australia, and a visiting scientist at Max Planck Institute for Human Cognitive and Brain Sciences. His research interests include multiscale brainnetome atlas, neuroimaging, and their applications in understanding of brain functions and disorders. He was elected a Fellow of American Institute for Medical and Biological Engineering.
Gil Rabinovici, M.D., Edward Fein and Pearl Landrith Distinguished Professor, University of California San Francisco Department of Neurology
Dr. Rabinovici is the Edward Fein and Pearl Landrith Distinguished Professor in the University of California San Francisco (UCSF) Department of Neurology. He received his Bachelor’s degree from Stanford University and MD from Northwestern University Medical School. He completed an internship in internal medicine at Stanford University, neurology residency (and chief residency) at UCSF and a behavioral neurology fellowship at the UCSF Memory and Aging Center (MAC).
Dr. Rabinovici’s research investigates how structural, functional and molecular brain imaging techniques can be used to improve diagnostic accuracy in dementia and to study the biology of neurodegenerative diseases, with the goal of accelerating treatment development. He leads the MAC PET imaging program and is Associate Director of the UCSF Alzheimer’s Disease Center. Dr. Rabinovici is principal investigator of Imaging Dementia: Evidence for Amyloid Scanning (IDEAS), a U.S.-wide study to assess the clinical utility of amyloid PET in 18,500 patients with MCI/dementia of uncertain etiology. He is co-PI and PET Core Director of the multi-site Longitudinal Evaluation of Early-Onset Alzheimer’s Disease Study (LEADS).
Armin Raznahan, M.D., Ph.D, National Institute of Mental Health Intramural Research Program, National Institutes of Health, MD, USA
Dr. Raznahan is a Lasker Clinical Research Scholar and Chief of the NIMH Developmental Neurogenomics Unit (DNU). The DNU is dedicated to better understanding the biology of childhood-onset neuropsychiatric disorders in ways that might ultimately help to improve disease prediction, detection and treatment. Together with a network of collaborators, the DNU works towards this goal in two mutually-informative ways. First, large-scale longitudinal neuroimaging datasets are used to study the architecture of brain development in health, and hone how brain organization is probed in atypically developing groups. Second, the DNU uses a “genetics-first” strategy to study the relationship between atypical brain development and neuropsychiatric symptoms. This effort involves gathering “deep-phenotypic” data (spanning measures of gene expression, brain structure/function, psychophysiology, cognition and behavior) in diverse genetic disorders which all increase risk for neuropsychiatric impairment. Cross-cutting themes of special interest within the DNU include sex-differences, allometry, and structure-function relationships within the central nervous system.
B.T. Thomas Yeo, PhD., National University of Singapore
Thomas Yeo is an assistant professor at the National University of Singapore (NUS) Department of Electrical and Computer Engineering, Clinical Imaging Research Center, Singapore Institute for Neurotechnology and Memory Network Program. His lab develops machine learning algorithms for large-scale brain imaging data with the goal of discovering fundamental principles of brain network organization, as well as how brain networks support cognition and are disrupted in mental disorders.