Dr. Deanna Barch’s research focuses on understanding normative patterns cognitive function and brain connectivity and the mechanisms that give rise to the challenges in behavior and cognition found in illnesses such as schizophrenia and depression, utilizing psychological, neuroimaging and computational approaches. She is Chair of the Department of Psychological & Brain Sciences at Washington University. She is Deputy Editor at Biological Psychiatry and was previously Editor-in-Chief of Cognitive, Affective and Behavioral Neuroscience. Dr. Barch is on the scientific boards of the Brain and Behavior Research Foundation, the One Mind Foundation, and the Stanley Foundation and a member of the NIMH Research Diagnostic Criteria Committee. Dr. Barch was on the Executive Committee of the Association for Psychological Science and the Scientific Council of the NIMH. She is a Fellow of both the Association for Psychological Science and the American College of Neuropsychopharmacology, and a member of the Society for Experimental Psychology.

Dr. Erin Barker is an Associate Professor in the Department of Psychology and member of the Centre for Research in Human Development at Concordia University, where she directs the “Lifespan Well-Being Laboratory.”  She is a developmental scientist whose program of research examines patterns of emotional experience across developmental transitions. She is particularly interested in how stress and coping affect mental health and wellbeing during the transition to adulthood.

Dr. Xavier Castellanos is the winner of the 2020 OHBM Mentor Award!

Dr. Castellanos studied Chomskian linguistics at Vassar College, experimental psychology at the University of New Orleans, and medicine at Louisiana State University in Shreveport. He was in the first cohort of “triple board” residents (combined training in pediatrics, psychiatry and child and adolescent psychiatry) at the University of Kentucky, after which he spent a decade conducting child psychiatry research at the National Institute of Mental Health in Bethesda. In 2001 he moved to New York University, where he is endowed professor of child and adolescent psychiatry, professor of radiology, neuroscience and physiology and an affiliate member of the NYU department of psychology.

His work has focused on using brain imaging to better understand neurodevelopmental disorders such as attention-deficit/hyperactivity disorder. He was an early advocate of examining low-frequency fluctuations in brain function and in behavior – both of which have become mainstream lines of investigation. Listed by Thomson Reuters (now Clarivate Analytics) as one the top 1% cited scientists in psychiatric neuroscience since 2014, he has served on many national and international review committees and was Vice-Chair of the American Psychiatric Association DSM-5 Workgroup on ADHD. 

Dr. Lara Boyd is a Neuroscientist and Physical Therapist at the University of British Columbia. She is a professor and has held a Canada Research Chair, a Michael Smith Foundation for Health Career Scientist award and been a Peter Wall Scholar. Dr. Boyd directs the Brain Behaviour Lab at the University of British Columbia. Her work is centered on answering the question of what limits, and what facilitates, neuroplasticity.  Dr. Boyd also serves as the Health Research Advisor to the Vice President for Research and is the university’s delegate to the Canadian Institutes of Health Research. Her TEDx talk “After this your brain will not be the same” has over 24 million views. 

Michael Breakspear is a Professor of Neuroscience at the University of Newcastle with an interest in models of brain function, brain imaging methods and clinical translation. He studied physics and medicine at the University of Sydney and obtained a PhD in mathematical models of schizophrenia. He is a principal research fellow in Australia's Medical Research funding scheme and the Editor-in-Chief of NeuroImage. He is also a practicing psychiatrist with an interest in psychosis, dementia and mood disorders.

Dr. Patrick Britz is the General Manager of NIRx GmbH in Berlin, Germany. He holds a Ph.D. degree in Biopsychology and worked on combining EEG and fMRI as well as on the interaction of emotion and attention. During his Ph.D., he started working for Brain Products GmbH as a scientific consultant and soon was offered to go to North America to work for Brain Vision LLC. In 2013 he took over the position as President of Brain Vision LLC. In 2017 he founded Brain Vision Solutions Inc. in Canada which he led as the President and CEO. Since 2019 he works as the General Manager for NIRx.

NIRx is a leading company in the field of functional near-infrared imaging. NIRx provides solutions to the leading institutes, minds, and companies worldwide to drive the most innovative research. Dr. Patrick Britz’s role at NIRx is to build the company and to drive innovation so NIRx can offer the solutions you as a customer want to use in the future. Over the years, he perfected the art of predicting where the science will go next. Dr. Patrick Britz is a committed supporter of the mentoring program and knows there are great options outside academia. Dr. Patrick Britz sees on average 200 applications a year from scientists that want to switch to the industry. He is looking forward to giving insights, tips, and tricks on how to excel at this important step.

Dr. Constable received his BSc from the University of Winnipeg in Physics and then did a MSc at the University of Manitoba in Medical Physics. He went on to do a PhD in Medical Biophysics at the University of Toronto and from there moved to Yale University, as a postdoctoral fellow, where he has remained and is now a tenured professor of Radiology and Bioimaging Sciences, with appointments in Biomedical Engineering and Neurosurgery as well as in the Interdepartmental Neuroscience Program. Dr. Constable has been continuously funded by the NIH for over 25 years, he is the director of the Magnetic Resonance Research Center at Yale, and he has published over 290 papers that that have accumulated over 25,000 citations yielding an h index of 103. His research interests are broad but a particular passion has been the goal of understanding the brain and how the functional organization of the brain relates to behavior. 

Alex Fornito completed his Clinical Masters and PhD in 2007 in the Departments of Psychiatry and Psychology at The University of Melbourne before undertaking Post-Doctoral training in the Department of Psychiatry at the University of Cambridge, UK, under the auspices of a National Health and Medical Research Council Training Fellowship. He is currently a Sylvia and Charles Viertel Foundation Senior Research Fellow and Head of the Brain Mapping and Modelling Research Program at the Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia.

Alex's research develops new imaging techniques for mapping human brain connectivity and applies these methods to shed light on brain function in health and disease. In particular, this work focuses on understanding foundational principles of brain organization, characterizing how genes shape brain network architecture, and developing maps and models of how mental illness might arise from disordered brain connectivity. Alex is co-author, together with Andrew Zalesky and Ed Bullmore, of the textbook Fundamentals of Brain Network Analysis. 

Amy Kuceyeski, PhD is an Associate Professor of Mathematics in Radiology at Weill Cornell Medicine and leader of the Computational Connectomics (CoCo) laboratory. For the past decade, Amy has been interested in understanding how the human brain works in order to better diagnose, prognose and treat neurological disease and injury. The CoCo lab's main focus is on using quantitative methods, including machine learning, applied to multi-modal neuroimaging data to map brain-behavior relationships. The lab's overall goal is to develop individualized therapies that can boost natural recovery mechanisms and support recovery after neurological disease or injury. Amy is also the founder and co-director of the cross-campus working group Machine Learning in Medicine, which aims to bring together ML researchers in Cornell-Ithaca and clinicians and researchers at WCM to address medicine's toughest problems.

Dr. Satterthwaite focuses on using multi-modal imaging to understand normal brain development, and how abnormal patterns of brain development associate with and predict psychiatric illness. As part of this goal, he leverages data from large-scale imaging studies and develop tools for image processing, quality assurance, and data analysis.

After receiving a Ph.D. in cognitive neuroscience from the psychology department at UCLA in 2006, Dr. Uddin completed a postdoctoral fellowship at the Child Study Center at NYU. For several years she worked as a faculty member in Psychiatry & Behavioral Science at the Stanford School of Medicine. She joined the psychology department at the University of Miami in 2014. Within a cognitive neuroscience framework, Dr. Uddin’s research combines functional connectivity analyses of resting-state functional magnetic resonance imaging data and structural connectivity analyses of diffusion tensor imaging data to examine the organization of large-scale brain networks supporting executive functions. Her current projects focus on understanding dynamic network interactions underlying cognitive inflexibility in neurodevelopmental disorders such as autism. Dr. Uddin’s work has been published in the Journal of Neuroscience, Cerebral Cortex, JAMA Psychiatry, Biological Psychiatry, PNAS, and Nature Reviews Neuroscience. She was awarded the Young Investigator award by the Organization for Human Brain Mapping in 2017.

Dr. Yeo is an Assistant Professor of Electrical & Computer Engineering and deputy director of the Clinical Imaging Research Center at the National University of Singapore. He is also an affiliated faculty at NUS Graduate School for Integrative Sciences & Engineering (NGS) and Harvard Medical School. Dr. Yeo’s research develops machine learning algorithms to automatically generate scientific discoveries from large-scale datasets comprising thousands of subjects with brain magnetic resonance imaging (MRI), behavioral, genetic and other physiological measures. Dr. Yeo was awarded the Early Career Investigator Award by OHBM in 2019.