Listed below are the current serving members of Aperture's Editorial Team.
Tonya White, Editor-in-Chief
Tonya White, MD, PhD is an associate professor in the Department of Child and Adolescent Psychiatry at Erasmus University Medical Centre in Rotterdam. Her primary research goals are to apply neuroimaging techniques to obtaining a better understanding of genetic and environmental factors associated with typical and atypical brain development in hopes that this will translate into either preventing or decreasing the morbidity of severe psychiatric disorders.
Uzay E Emir
Dr. Uzay E Emir is currently an Assistant Professor in the School of Health Sciences at Purdue University. Dr. Emir’s expertise lies in the development and translation of molecular imaging and magnetic resonance spectroscopy MRS) techniques at clinical (3T) and ultra-high field (UHF>3T) magnetic fields.
Dr. Qiu is Depute Head for Research & Enterprises, Associate Professor of Department of Biomedical Engineering at the National University of Singapore.
Dr. Qiu has been devoted to innovation in computational analyses of complex and informative datasets comprising of disease phenotypes, neuroimage, and genetic data to understand the origins of individual differences in health throughout the lifespan. Dr. Qiu received Faculty Young Research Award, 2016 Young Researcher Award of NUS. She has recently been appointed as endowed “Dean’s Chair” associate professor to honour her outstanding research achievements. She serves as treasurer on the council of Organization of Human Brain Mapping and editors of Neuroimage and Frontiers in Neuroscience.
Bertrand Thirion is the leader of the Parietal team part of INRIA research institute that develops statistics and machine learning techniques for brain imaging. He contributes both algorithms and software, with a special focus on functional neuroimaging applications. Bertrand Thirion is also head of the DATAIA Institute that federates research on AI, data science, and their societal impact in Paris-Saclay University.
Catie Chang is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Vanderbilt University. She was previously a postdoctoral fellow at the NIH, and received her Ph.D. from Stanford University. Her lab seeks to advance understanding of human brain function by developing techniques for analyzing and interpreting neuroimaging data.
I have a background in Computer Science and Computational Neuroscience. My group focuses on the development of technologies for reproducible research and the application of technology to mental illness. We use brain imaging, machine learning, and scalable technologies like smartphones and wearables to improve relating individuals. We have a specific focus on understanding the neural basis of human spoken communication and using how we speak and what we speak as proxies for assessing and tracking mental health.
Valeria Della-Maggiore received her Ph.D in Psychology and Neuroscience from the University of Toronto, and carried out her postdoctoral training at the Montreal Neurological Institute (McGill). In 2006, she returned to her home country, where she joined the Department of Physiology of the School of Medicine at the University of Buenos Aires, where she directs the Physiology of Action Laboratory. Valeria is currently the Scientific Director of the MRI Center from the University of Buenos Aires. Her research focuses on the behavioral neuroscience of motor learning and motor control. Her lab uses MRI, NIBS and EEG to study how motor learning and consolidation impact on structural neuroplasticity, functional connectivity and neural oscillations during wake and sleep.
Dr. Moll graduated in Medicine at the Federal University of Rio de Janeiro (1994) and completed a residency in Neurology at the same university in 1997. He specialized in the area of cognitive neuroscience, with a post-doctorate in the Section of Cognitive Neuroscience, National Institute of Neurological Disorders and Stroke, NIH, USA (2004-2007). His research focuses on the areas of: neural bases of moral behavior and cognition, neuroscience and social psychology, moral emotions and antisocial behavior, through clinical studies in patients with neuropsychiatric disorders and functional magnetic resonance experiments. He has served as an associate editor of Social Neuroscience and Dementia & Neuropsychology, and reviewer for Science, Trends in Cognitive Sciences, Archives of General Psychiatry, Journal of Neuroscience, Journal of Cognitive Neuroscience, among others. He is a member of the scientific board of Nielsen Neuro and an affiliated member of the Brazilian Academy of Sciences. He is the founder and coordinator of the Cognitive and Behavioral Neuroscience Unit and co-founder / president (until 07/2018) of the D'Or Institute for Research and Education, Rio de Janeiro, Brazil.
Laurentis (Renzo) Huber received his doctoral degree in physics at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany in 2015 working with Bob Turner and Harald Moeller. Between 2015 and 2018, he did his Post-Doc work with Peter Bandettini at NIH focusing on developing methods to map brain functional activity changes at sub-millimeter scales in humans. Since January 2019, Renzo has been doing a VENI-fellowship in the MR-methods group headed by Benedikt Poser in Maastricht.
Bio coming soon.
Adam Thomas leads the Data Science and Sharing Team at the National Institute of Mental Health’s Intramural Research Program. Adam received his Ph.D. in Neuroscience from the University of Oxford where he studied human brain plasticity under the guidance of Heidi Johansen-Berg and Peter Bandettini. Adam also holds a Bachelor’s in Computer Science from the University of Pittsburgh where he developed neural network models of brain plasticity under James McClelland.
Dr. Thomas serves in his own capacity. The views expressed are his own and do not necessarily represent the views of the National Institutes of Mental Health or the United States Government.
Dr. Chen received her MSc (2004) in Electrical Engineering from the University of Calgary, and her PhD (2009) in Biomedical Engineering from McGill University. She completed her postdoctoral work on multimodal MRI of brain aging at the Martinos Center for Biomedical Imaging, Harvard Medical School (2011), and joined MBP as faculty in 2011. She is a Senior Scientist at the Rotman Research Institute and Tier II Canada Research Chair in Neuroimaging of Aging. She currently heads the Chen Lab (Research in Advanced Neuroimaging using MRI). Her research is funded by the CIHR, NSERC and the Heart and Stroke Foundation.
Dr. Vincent P. Clark received his BS in Psychobiology with Honors in Psychology from UCLA, and his PhD in Neuroscience from UCSD working with Dr. Steven A. Hillyard. He is currently Director of the Psychology Clinical Neuroscience Center and Professor of Psychology and Neuroscience at the University of New Mexico, and Professor of Translational Neuroscience and Director of the MIND COBRE P30 Center at the Mind Research Network and Lovelace Respiratory Research Institute. He utilizes neuroimaging (EEG, fNIRS, MEG and MRI including fMRI, ASL, DTI, DSI and MRS) and neuromodulation or brain stimulation, including electrical (tDCS/tACS/tES), magnetic (TMS), light (tPBM), ultrasonic (tUS and fTUS) and physical pressure-based techniques, as well as other methods to examine hypotheses regarding the mechanisms of attention, perception and memory in healthy people and how these processes are altered in patients with neuropsychiatric illnesses.
Edson has a background in neuroradiology, with specific training and expertise in functional Magnetic Resonance imaging and primary/secondary data analysis from large cohorts on human neurodevelopment and different aspects of neurological diseases using various modalities and applications, especially MRI. His research lines includes proposal and testing methods for neuroimaging data acquisition and analysis based on quantitative measurements of brain function and connectivity
Dr Pernet is a senior academic fellow, teaching MRI/fMRI/EEG and researching on statistics and neuroimaging methods with a special interest for clinical cases and applications. He also has expertise in data management and open science.
Armin Raznahan, MD, PhD, is Chief of the Section on Developmental Neurogenomics (SDN). His research combines neuroimaging, genomic and bioinformatic techniques to better understand the architecture of human brain development in health, and in neurogenetic disorders that increase risk for psychiatric symptoms. Dr. Raznahan has a degree in Medicine and a PhD in Biological Psychiatry from King’s College University London, UK. He completed residencies in pediatrics and psychiatry, and a specialist fellowship in child and adolescent psychiatry at the Maudsley Hospital, London, UK. Dr. Raznahan trained with Drs. Jay Giedd and Judith Rapoport as a postdoc at NIMH, and is an alumnus of the NIH-Lasker Clinical Research Scholars tenure-track program.
Lucina Q. Uddin
After receiving a Ph.D. in cognitive neuroscience from the Psychology Department at the University of California, Los Angeles, Dr. Uddin completed a postdoctoral fellowship at the Child Study Center at New York University. For several years she worked as a faculty member in Psychiatry at Stanford University before joining the Psychology Department at the University of Miami. 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.
Pierre Bellec is a principal investigator and FRQS research fellow (Junior 2) at the Centre de recherche de l'institut de gériatrie de Montréal (CRIUGM), as well as an associate professor in Psychology at Universite de Montreal. He is developing machine learning tools to study the brain structure and function using magnetic resonance imaging. He also leads the Courtois project on neural modelling, which aims at training artificial neural networks to imitate jointly human behavior and brain activity.
Hiromasa Takemura is a tenure-track researcher in the Center for Information and Neural Networks (CiNet), NICT, Japan. Takemura’s research centers on studies of human visual white matter pathways, covering topics from vision science, comparative neuroanatomy, functional neuroimaging and clinical vision. In 2012, he earned Ph.D. from the University of Tokyo, where he worked on the psychophysical study of human visual motion perception. From 2012 to 2015, he carried out a series of studies on human visual white matter pathways as a postdoctoral fellow in the Wandell Laboratory at Stanford University, USA. He joined CiNet, NICT in Japan in 2015.
Martin Lindquist is a Professor of Biostatistics at Johns Hopkins University. His research focuses on mathematical and statistical problems relating to functional Magnetic Resonance Imaging (fMRI). Dr. Lindquist is actively involved in developing new analysis methods to enhance our ability to understand brain function using human neuroimaging. He has published over 70 articles, and serves on the editorial boards of several scientific journals both in statistics and neuroimaging. He is a fellow of the American Statistical Association. In 2018 he was awarded the Organization for Human Brain Mapping's 'Education in Neuroimaging Award' for teaching statistical issues to the neuroimaging community and the development of online classes that have taught fMRI methods to more than 80,000 students world-wide.
Professor Tianzi Jiang is the Director of the Brainnetome Center and the Director of the Key Lab of Brainnetome Center. He works as Associate/Section Editors for several journals, including IEEE Transactions on Cognitive and Developmental Systems. He is the President of the Beijing Society for Brainnetome and Brain-inspired Intelligence, the Executive Member of the Council of Chinese Neuroscience Society (CNS) and the President of Consciousness and its Disorder Branch, and the Chair of 2021 International Joint Conference on Neural Network. He was elected as Foreign Member of the Academy of Europe (MAE), Fellow of the Institute of Electrical and Electronics Engineers (IEEE), Fellow of International Association of Pattern Recognition (IAPR), and Fellow of American Institute for Medical and Biological Engineering (AIMBE). He was awarded the first prize of Wu Wenjun AI Science & Technology Award and the second prize of National Natural Science Award of China. His research interests including multiscale Brainnetome atlas, Brainnetome atlas guided robotics and brain-computer interaction, and early diagnosis and prevention of brain diseases.
Molly is an assistant professor of Biomedical Engineering and Physical Therapy and Human Movement Sciences at Northwestern University in Chicago, IL. Her research uses advanced MRI techniques to study the interaction of neural activity and vascular physiology in healthy brains and in neurological pathology. This involves the design and implementation of tools to stimulate or monitor human physiology during MRI scanning, and the development of specialized MRI acquisition methods to characterize neuro-vascular function. Her lab aims to produce robust quantitative imaging biomarkers for studying cerebral palsy, spinal cord injury, stroke, multiple sclerosis, and the response of individual patients to personalized therapeutic interventions.
Mallar Chakravarty is a Neuroscientist in the Cerebral Imaging Centre at Douglas Research Centre. He is also an Associate Professor in the Department of Psychiatry and an Associate Member of the Department of Biomedical Engineering at McGill University. Dr. Chakravarty received his Bachelor’s Degree in Electrical Engineering from the University of Waterloo and his PhD in Biomedical Engineering from McGill University. He went on to do postdoctoral fellowships in Aarhus, Denmark and jointly at the Rotman Research Institute and at the Mouse Imaging Centre (MICe) and the Hospital Sick Children in Toronto, Canada. Between fellowships, Dr. Chakravarty worked at the Allen Institute for Brain Science (Seatte, WA, USA). He is interested in the anatomy of the brain. His group focuses on how anatomy changes through development, aging, and in illness and how the dynamics of brain anatomy are influenced by genetics and environment.
Cameron Craddock received his PhD in Electrical and Computer Engineering from Georgia Institute of Technology under the supervision of Dr. Xiaoping Hu and Dr. Helen Mayberg. He completed post-doctoral training with Dr. Stephen LaConte at Baylor College of Medicine and Virginia Tech Carillion Research Institute. He was a Research Scientist at the Child Mind Institute and Nathan S. Kline Institute for Psychiatric Research in New York. He is currently an Associate Professor of Diagnostic Medicine at The University of Texas at Austin Dell Medical School in Austin Texas.
Dr. Craddock’s research involves the development of novel MRI data acquisition and analysis techniques for identifying biomarkers for neuropsychiatric diseases. He is a strong supporter of Open Science in the neuroimaging community. He is involved in several open source software and data-sharing initiatives including the Configurable Pipeline for the Analysis of Connectomes (co-director), Preprocessing Connectomes Project (founder) and International Neuroimaging Data-sharing Initiative. As a co-founder of the Neuro Bureau, he helped organize an annual open science themed Gala that occurs during OHBM’s annual meeting, the OHBM Art exhibition and BrainArt competition. He is a founder of Brainhack, which has developed a novel format for collaborative workshops that convenes researchers with myriad backgrounds and seniority levels to work together on neuroscience. He was the founding chair of the OHBM Open Science Special Interest Group and co-founder of OHBM’s annual Hackathon and Open Science room.
Meredith Reid, PhD is an assistant professor at the Auburn University MRI Research Center, Department of Electrical and Computer Engineering. Her primary research interest is the use of MR spectroscopy (MRS) and functional MRS to advance our understanding of psychiatric disorders.
Mitchell J. Valdés-Sosa
Mitchell graduated from the Havana Medical School in 1972 and defended his PhD thesis at the National Research Center of Cuba in 1975. His basic research has focused on the neural mechanism of visual attention and face recognition, using psychophysics, event-related potentials, and fMRI with emphasis on multivariate pattern analyses, as well as studies patients with focal brain lesions. He has participated in two projects funded by by the Human Frontier Science Programme (“Oscillatory event-related brain dynamics”, and “Neural basis of nonspatial visual attention: objects, features and behaviour”). His translational work has examined the neural basis of learning disabilities, violent behavior, and hearing loss. He has been the Director of the Cuban Center for Neuroscience since 1989. He is the Coordinator of the Cuban Program for Brain Dysfunction and Brain Mapping. Valdes-Sosa is Member Emeritus of the Cuban Academy of Sciences.
Dr. Jing Xiang is the Director of Magnetoencephalography (MEG) Research at Cincinnati Children’s Hospital Medical Center. He is an Associate Professor in the Departments of Pediatrics and Neurology at the University of Cincinnati. Dr. Xiang played a key role in building the world’s first pediatric MEG Laboratory at the Hospital for Sick Children, in Toronto, Canada. He also established the world’s first high frequency brain signal database (ClinicalTrials.gov Identifier: NCT00600717). He is a pioneer in clinical applications of neuromagnetic high frequency brain signals and has published more than 120 peer-reviewed papers. Dr. Xiang received numerous awards for his outstanding contributions (e.g. Walter Berdon Award).
Daniel S. Margulies
Daniel Margulies is a CNRS research director in the Integrative Neuroscience and Cognition Center at the University of Paris. His research investigates principles of cortical organization, predominantly using MRI to map the relationships between the layout of connectivity, function, and structure in the cerebral cortex.
Won Mok Shim
Won Mok Shim is an Associate Professor of Biomedical Engineering at Sungkyunkwan University (SKKU). She received her Ph.D. from Harvard University, and she did post-doctoral work at Harvard University and MIT. Before joining SKKU, she was an Assistant Professor at Dartmouth College. Using fMRI and behavioral and computational methods, her group aims to understand how the neural processes in the human brain give rise to mental functions such as perceiving, understanding, and thinking. Her current research program focuses on how the brain represents and processes a range of perceptual and cognitive information -– from low-level sensory features to high-level contexts and predictions – under naturalistic conditions.
Alexandre Gramfort is a senior research scientist at INRIA, France, and formerly Assistant Professor at Telecom Paris, Université Paris-Saclay, in the image and signal processing department from 2012 to 2017. He is also affiliated with the Neurospin imaging center at CEA Saclay. His field of expertise is signal and image processing, statistical machine learning and scientific computing applied primarily to functional brain imaging data (EEG, MEG, fMRI). His work is strongly interdisciplinary at the interface with physics, computer science, software engineering and neuroscience. He is at the origin and the leader of the development of the MNE-Python software (http://mne.tools) which is a leading academic software for processing MEG and EEG data.
Dr. Laird is a Professor of Physics, Psychology, and Neuroscience at Florida International University and the Founding Director of FIU’s Center for Imaging Science (CIS). She is a cognitive neuroscientist with advanced training in the physics of MRI and fMRI. Her expertise lies in the development and application of fMRI data analysis strategies for investigating functional connectivity and co-activation, with particular emphasis on meta-analysis methods and neuroinformatics tools for managing and synthesizing large data sets. In addition, Dr. Laird is a site PI for the Adolescent Brain Cognitive Development (ABCD) Study, which is the largest long-term study of brain development and child health in the United States.
I am an Assistant Professor at the Center for Magnetic Resonance Research at the University of Minnesota. Research in my lab lies at the intersection of cognitive neuroscience, functional magnetic resonance imaging methods, and computational modeling. The general goal of our research is to use data-intensive approaches to elucidate the computational principles by which the brain processes sensory information. I am a co-founder of the interdisciplinary conference, Cognitive Computational Neuroscience, which seeks to bridge computational-minded researchers in cognitive science, artificial intelligence, and neuroscience. The lab makes freely available tools and resources (e.g., experiments, data, code) developed in the course of our research.
I am a Senior Scientist at the Rotman Research Institute at Baycrest Hospital and Associate Professor in the Department of Psychology at the University of Toronto. My research is focused on the cognitive neuroscience of human memory, with special focus on how the brain is able to store, maintain, and "reactivate" complex verbal and episodic memories. My lab uses functional magnetic resonance imaging and multivariate methods to measure and decode conscious memories of prior experiences and examine how patterns of activation elicited during perception are reconstructed during vivid memory. We also develop open source software for neuroimaging and eye-tracking that focus on pattern analysis, multivariate methods, and other statistical techniques.
Not Pictured (Bio Coming Soon)