Find Academic Supervisors

• Sleep Disorders
• Metabolic Dysfunction
• Cognitive Decline
• +5 more

Dr Camilla Hoyos is a Senior Lecturer and Research Leader in the Department of Health Sciences at Macquarie University, affiliated with the Woolcock Institute of Medical Research. She holds a National Heart Foundation Future Leader Fellowship within the Faculty of Medicine, Health and Human Sciences. Her research focuses on the impact of sleep disorders, metabolic dysfunction, and cognitive decline, particularly exploring therapies to mitigate risks of diabetes, heart disease, and dementia. Dr Hoyos completed her PhD in 2012 at the University of Sydney and Woolcock Institute, investigating sleep apnea’s effects on body fat and insulin resistance. She has over 20 years in clinical research, initially as a clinical trial coordinator and manager at the Woolcock Institute. Her current research emphasizes interventions targeting sleep disturbances to slow cognitive decline and prevent dementia. Key areas include circadian dysfunction in neurodegenerative disorders, melatonin supplementation, and digital sleep therapies. She leads projects such as the SIESTA initiative and the REShAPED trial, collaborating with institutions like the University of Sydney and Flinders University. Dr Hoyos has authored over 100 publications, with recent work covering CPAP therapy efficacy, cannabinoid-based sleep interventions, and light therapy effects. Her articles highlight trends in sleep apnea treatment, neurodegeneration prevention, and technological solutions for sleep disorders. Awards: James B.Skatrud New Investigator Award (2018) Advising & Grants: Leads multi-institutional projects on dementia prevention and sleep precision medicine. Current funding includes grants from the National Health and Medical Research Council (NHMRC) and industry partnerships. Labs & Teams: Centre for Sleep and Chronobiology at Woolcock Institute, collaborating with the Macquarie University Medical School and international research networks.

• Clinical Epilepsy
• Neuromodulation
• Neurophysiology
• +5 more

Ryan McGinn is an Assistant Professor of Clinical Neurology at the University of Southern California (USC). His academic journey spans diverse fields: beginning as a professional jazz musician, he transitioned to study physics and neural engineering at the University of Toronto before completing medical training at McMaster University and epilepsy fellowships at Stanford University. He currently focuses on clinical epilepsy, emphasizing advanced treatments like epilepsy surgery, neuromodulation (e.g., thalamic and cortical stimulation), and network-based interventions. Dr. McGinn's research integrates quantitative sciences with medicine, particularly in understanding seizure states and connectivity through signal processing of intracranial recordings. His work addresses cutting-edge topics such as thalamic involvement in refractory epilepsy, fasciola cinereum as an interventional target, and touch-screen automatisms in the digital era. His contributions include systematic reviews on stereotactic biopsies and mesenchymal stem cell therapies for stroke, reflecting his commitment to bridging preclinical and clinical research. His publications span over two decades, demonstrating expertise in epilepsy mechanisms, neurophysiology, and translational neuroscience. His early work explored thermoregulation in diabetes and exercise physiology, reflecting his interdisciplinary background. Collaborative efforts in neuroengineering and precision medicine underscore his vision for personalized neurological care. No specific scientific awards or grants are highlighted in the profile, though his extensive publication record indicates sustained research activity. His educational background in both music and physics uniquely informs his approach to understanding complex neurological patterns and rhythms.

• Cognitive Neuroscience
• Forensic Psychology
• Neuroimaging
• +4 more

Andrea Zangrossi is an Assistant Professor at the University of Padua. Their research focuses on cognitive neuroscience, forensic psychology, and neuroimaging applications in legal contexts. Key interests include deception detection via behavioral and neural markers, cognitive assessment in neurological disorders, and AI's role in psychiatric evaluation. Research emphasizes brain activity decoding (e.g., fMRI analysis of memory recognition), response latency in lie detection, and low-dimensional cognitive impairment patterns in stroke/brain tumors. They investigate interdisciplinary topics like self-consciousness effects on time perception and ethical implications of AI in mental health diagnosis. Published extensively on forensic neuroimaging biases, malingering detection, and cognitive screening tools like the Oxford Cognitive Screen (OCS). Active in developing novel methodologies such as the Autobiographical Implicit Association Test (aIAT) combined with eyetracking for memory verification. No scientific awards listed. Contact: Via Venezia, 8 – Padova; +39 049 827; andrea.zangrossi@unipd.it

Mark LescroartView profile

Assistant Professor

• Neuroscience
• Cognitive Psychology
• Visual Perception
• +3 more

Mark Lescroart is an Assistant Professor in the Department of Psychology at the University of Nevada, Reno, where he leads the Pieces of Mind Lab. He joined the Cognitive & Brain Sciences group in 2018 after completing a Ph.D. in Neuroscience at the University of Southern California (2011) under Irving Biederman and postdoctoral research with Jack Gallant at UC Berkeley. His research focuses on how the brain transforms visual stimuli into cognitive representations of objects, spatial relationships, and human actions. He teaches Measuring the Human Brain (PSY 413) . Education Ph.D. in Neuroscience, University of Southern California, 2011 B.S. in Psychobiology, University of Southern California, 2002 Research Interests Dr. Lescroart’s lab develops computational models of fMRI responses to decode brain activity during visual perception. Key areas include object identity/shape encoding, spatial structure interpretation, and action recognition. Techniques involve voxel-wise encoding models and decoding algorithms to predict neural responses to stimuli like movies and images. Awards & Grants Ruth L. Kirschstein National Research Service Award (2012–present) USC Travel Award (2010) Rockwell Dennis Hunt Scholastic Award (2006) Lab & Collaborations The Pieces of Mind Lab integrates neuroscience, computational modeling, and psychophysics to study high-level vision. Recent work includes the Visual Experience Dataset , a multimodal recording of naturalistic visual experiences.

Sten GrillnerView profile

Professor

• Neurosciences
• Motor Control
• Neural Circuits
• +4 more

Sten Grillner is a Senior Professor at Karolinska Institutet's Department of Neuroscience, focusing on the cellular and evolutionary basis of motor behavior. His research integrates neurophysiology, computational modeling, and evolutionary biology to understand neural circuits controlling movement, with a focus on lamprey models and basal ganglia function. His work explores how motor systems evolved, including the role of pH-sensing neurons and the neural basis of action selection. Key research areas include: motor control mechanisms; evolution of vertebrate forebrain structures; modeling neural networks (e.g., striatum and spinal circuits); and the role of dopamine and other neuromodulators in behavior. His group's projects are funded by the Swedish Research Council, EU initiatives like the Human Brain Project, and Karolinska Institutet. Publications span over 50 years, with recent work on basal ganglia microcircuits, computational neuroscience frameworks, and evolutionary insights from lamprey models. His team's interdisciplinary approach bridges experimental and theoretical neuroscience, contributing to understanding both normal motor function and neurological disorders.

Mirella DaprettoView profile

Professor

• Autism Spectrum Disorder
• Neuroscience
• Brain Imaging
• +7 more

Mirella Dapretto is a Professor and Department Vice Chair in the Department of Psychiatry and Biobehavioral Sciences at the University of California Los Angeles (UCLA) School of Medicine. She is a prominent researcher in the field of autism spectrum disorder (ASD) and developmental neuroscience, with a focus on understanding the neural mechanisms underlying social cognition, sensory processing, and language development in both typically developing children and those with ASD. Her research primarily investigates brain imaging correlates of autism, with particular emphasis on early biomarkers of ASD in infants, sensory processing differences, neural connectivity patterns, and the relationship between genetic factors and brain function in autism. Her work spans multiple methodologies including fMRI, EEG, and multimodal imaging approaches to study developmental trajectories in both typically developing children and those with neurodevelopmental disorders. Dr. Dapretto's recent publications demonstrate a strong focus on early identification of autism through infant brain imaging, sensory processing differences in autism, neural correlates of language development, and the investigation of gut-brain connections in autism. Her research often involves large-scale collaborative projects examining the intersection of genetics, neural function, and behavior in autism spectrum disorder. She has been actively involved in numerous NIH-funded research projects including the ABCD Consortium, studies on parsing ASD heterogeneity through neuroendophenotypes, mapping the human connectome during development, and investigating the neurobiological basis of social and motor deficits in ASD. Her work frequently appears in high-impact journals across neuroscience, psychiatry, and developmental psychology. Dr. Dapretto collaborates extensively with researchers across UCLA and other institutions through networks such as the ACE GENDAAR Consortium and the RECOVER-Pediatrics Consortium, contributing to large-scale investigations of autism and pediatric health conditions. Her laboratory focuses on translational research that bridges basic neuroscience with clinical applications for children with neurodevelopmental disorders.

Jason ErnstView profile

Professor

• Epigenomics
• Regulatory Genomics
• Non-coding Genome Interpretation
• +4 more

Jason Ernst is a Professor of Biological Chemistry and Computational Medicine at the University of California, Los Angeles (UCLA), where he leads a computational biology lab focused on epigenomics, regulatory genomics, and non-coding genome interpretation. His work spans multiple departments and institutes including the David Geffen School of Medicine, Computer Science Department, Computational Medicine Department, Interdepartmental Bioinformatics Program, Institute for Quantitative and Computational Biosciences, Broad Stem Cell Research Center, Jonsson Comprehensive Cancer Center, and Molecular Biology Institute. Dr. Ernst received his BS in Computer Science and Mathematics from the University of Maryland, College Park (2002), his PhD in Machine Learning from Carnegie Mellon University (2008), and completed postdoctoral training in Computational Biology at MIT (2011). His research interests center on developing computational methods to analyze chromatin states, DNA methylation patterns, and regulatory elements across diverse cell types and species. His recent publications reveal a strong focus on epigenomic data integration, with particular emphasis on chromatin state annotation, cross-species methylation analysis, and the functional interpretation of non-coding genomic regions. His lab has developed influential computational frameworks like ChromHMM for chromatin-state discovery, which has been widely adopted in the field. Current research directions include investigating regulatory elements in autism, developing methods for cross-species methylation imputation, and exploring the relationship between epigenetic patterns and life-history traits across mammals. Dr. Ernst actively mentors graduate students, with recent PhD defenses including work on autism genomics. His lab collaborates extensively across UCLA and with researchers worldwide, particularly in the fields of epigenetics, computational genomics, and disease mechanisms. His research is supported by multiple NIH grants and institutional resources, enabling the development of cutting-edge computational approaches to analyze large-scale genomic datasets. Dr. Ernst's lab maintains strong connections with both computational and experimental research groups, facilitating the translation of computational findings into biological insights.

Jonathan Frederic Rest FlintView profile

Professor

• Genetics
• Genomics
• Psychiatry
• +5 more

Jonathan Frederic Rest Flint is a Professor-in-Residence at the University of California Los Angeles (UCLA) in both the Department of Psychiatry and Biobehavioral Sciences and the Department of Human Genetics. He holds the Billy and Audrey Wilder Endowed Chair in Psychiatry and Neuroscience . His research bridges genetics, psychiatry, and computational biology, focusing on the genetic architecture of mental health disorders, particularly major depressive disorder (MDD), and innovative methodologies for depression detection via speech analysis. Flint has pioneered genetic association studies of MDD, exploring links between voice pitch and depression, and leveraged deep learning for phenotypic subtyping in biobank data. His work on speaker disentanglement addresses privacy-preserving depression detection, while studies on epigenetic stratification refine biomarkers in minoritized populations. He also investigates complementation testing to identify genes influencing fear-related behavior and dominance in mammalian gene expression. Recent publications highlight his leadership in integrating genomic and behavioral data , including smartphone-based mood prediction and SARS-CoV-2 epidemiology. His scientific awards include the Wilder Endowed Chair, recognizing his contributions to psychiatric genetics and neuroscience. Flint’s work emphasizes translational applications, combining rodent models and human studies to unravel the molecular underpinnings of mental health.

• Animal Nutrition
• Ruminant Physiology
• Microbiology
• +4 more

Todd Callaway is an Adjunct Professor in the Department of Poultry Science at the University of Georgia’s College of Agricultural & Environmental Sciences. His research focuses on animal microbiology, probiotics, rumen fermentation, and gastrointestinal health in livestock. Contact: todd.callaway@uga.edu (706-542-0962). Research interests include optimizing animal nutrition through microbiome modulation, evaluating forage quality impacts on rumen function, and developing antibiotic alternatives for livestock. His work addresses both production efficiency and environmental sustainability in agriculture. Recent publications explore topics such as tannin effects on equine digestion, biofilm inhibition in poultry pathogens, and the role of Amla supplementation in dairy cow rumen health. He also investigates One Health aspects of climate impacts on foodborne pathogens and neurorecovery mechanisms in porcine TBI models. Awards: Not explicitly mentioned in available texts. Grant/Advising: No specific grants or advisees listed. Collaborations likely involve interdisciplinary teams across microbiology, animal nutrition, and veterinary medicine. Labs/Teams: Engaged with research groups studying rumen microbiology, probiotic development, and animal health solutions at UGA’s College of Agricultural & Environmental Sciences.

Aaron S.W. WongView profile

Part-Time Lecturer

• Computer Science
• Artificial Intelligence
• Robotics
• +16 more

Dr Aaron Wong is an Honorary Lecturer at the School of Psychology , University of Newcastle , with dual affiliations in Computer Science and Software Engineering . His career spans interdisciplinary research in robotics, cognitive neuroscience, and neuroimaging, supported by roles in the Functional Neuroimaging Laboratory and Priority Research Centre for Stroke and Brain Injury . Education: PhD in Computer Science, University of Newcastle Bachelor of Engineering (Computer Engineering) with Honours Bachelor of Computer Science Research Focus: Dr Wong's work bridges machine learning , humanoid emotion modeling , and multimodal neuroimaging (MRI/EEG). Key projects include developing brain-computer interfaces , acoustic localization systems for rescue robots, and semi-supervised manifold alignment techniques. Publication Trends: Recent articles emphasize theta oscillations in cognitive control , EEG-MRI joint modeling , and deep learning for speech emotion recognition . Collaborative themes span neurodevelopmental studies , stroke research , and urban robotics . Scientific Awards: 2008 RoboCup SPL World Champion 2011 RoboCup Australian Open Champion 2014 Global Leader of Innovation (UON) 2011 Best Student Paper (ANZAScA) Supervision & Grants: Served as co-supervisor for two PhD students. Secured $23,775 in grants including a 2018 Hunter Medical Research Institute award for EEG-MRI predictive modeling and 2016 Keats Endowment funding for cognitive flexibility research . Labs & Teams: Central to the Functional Neuroimaging Laboratory and PRC Stroke and Brain Injury , with global RoboCup collaborations and contributions to the Age-ility Project data repository.

Sarah LondonView profile

Associate Professor

• Neuroscience
• Neural Plasticity
• Learning and Memory
• +2 more

Sarah London is an Associate Professor at the University of Chicago's Department of Psychology. She received a BA in Biology and Psychology from Middlebury College and a PhD in Neuroscience from UCLA, followed by postdoctoral research at University of Illinois Urbana-Champaign. Her research examines neural mechanisms of developmental learning using zebra finch songbirds as models. Key interests include experience-dependent neural plasticity, sensitive periods in development, and molecular/genomic correlates of behavior, with implications for human speech acquisition and neurodevelopmental disorders. Publications focus on autism spectrum disorder, Down syndrome neurodevelopment, advanced MRI methodologies, and computational neuroimaging approaches. Recent work investigates white matter development, functional connectivity patterns, and early behavioral biomarkers in neurodevelopmental conditions. Leads the London Lab studying neurogenomics of learning potential and critical period mechanisms.

Monica RosenbergView profile

Associate Professor

• Cognitive Neuroscience
• Attention Mechanisms
• Neuroimaging
• +3 more

Monica Rosenberg is an Associate Professor in the Department of Psychology at The University of Chicago, affiliated with the Committees on Computational Neuroscience and Neurobiology and the Institute for Mind and Biology. Her research focuses on attention mechanisms, brain activity patterns, and neuroimaging techniques. She holds a PhD and postdoctoral training from Yale University's Department of Psychology, following an undergraduate degree in cognitive neuroscience from Brown University. Her work integrates behavioral studies, neuroimaging, and machine learning to explore how attention fluctuates over time and interacts with cognitive processes. Notably, she developed models predicting attention and cognition from resting-state MRI data, revealing insights into individual differences in focus and memory. Rosenberg's research also addresses neurocognitive maturation in adolescence and the impact of urban environments on cognitive performance. Her lab, the Cognition, Attention, and Brain Lab, advances methodologies like functional connectome fingerprinting and connectome-based predictive modeling. These tools enable personalized insights into brain behavior relationships, with applications in clinical settings and neurodevelopmental studies. Rosenberg's contributions bridge computational neuroscience and psychological theory, emphasizing predictive modeling and translational research.

Steven PiantadosiView profile

Assistant Professor

• Cognitive Psychology
• Computational Linguistics
• Numerical Cognition
• +4 more

Steven Piantadosi is an Assistant Professor of Psychology at the University of California, Berkeley. His research integrates formal computational methods and behavioral experiments to investigate how humans learn language, form conceptual systems, and process numerical/mathematical information. He holds a PhD in Psychology from MIT and is affiliated with the Department of Psychology, contributing to interdisciplinary research on cognition and culture. His academic journey includes a focus on the intersection of cognitive science, linguistics, and computational modeling. Key research areas include the cultural evolution of numerical systems, the cognitive mechanisms underlying language acquisition, and the neural basis of conceptual representation. Dr. Piantadosi's work often explores how computational principles shape human learning, bridging theoretical and empirical approaches. Recent studies highlight themes such as cross-cultural mathematical cognition, the role of vector semantics in the brain, and the dissociation between deductive/inductive reasoning processes. His research emphasizes the importance of cultural context in shaping cognitive abilities, as seen in studies of indigenous Amazonian groups and comparisons across species. While no specific advising details are provided, his work likely involves collaborations with graduate students and postdoctoral researchers in computational psychology and neuroscience. Notable contributions include challenging traditional nativist theories of concept formation and advancing models of symbolic learning through metaprogram search. His findings have implications for education, artificial intelligence, and our understanding of human uniqueness in cognitive capacity.

Robert KassView profile

Professor

• Computational Neuroscience
• Bayesian Inference
• Graphical Models
• +7 more

Robert Kass is the Maurice Falk University Professor of Statistics and Computational Neuroscience at Carnegie Mellon University, with affiliations in the Department of Statistics & Data Science, Machine Learning Department, and Neuroscience Institute. He has served as Department Head of Statistics for 9 years and held leadership roles in academic societies. Ph.D. in Statistics (University of Chicago, 1980) B.A. in Mathematics (Antioch College) Postdoctoral training at Princeton University His research bridges statistics and neuroscience, focusing on: Statistical methods for neural data analysis Bayesian inference and graphical models Point process modeling of spike trains High-dimensional and time-series analysis Computational neuroscience education Recent publications span computational neuroscience, emphasizing phase coupling analysis, latent variable modeling, and cross-population dynamics, with methodological innovations in neural data interpretation. As founding Editor-in-Chief of Bayesian Analysis and Executive Editor of Statistical Science , he shaped academic discourse in statistics. Key scientific recognitions: Outstanding Statistical Application Award (ASA) Distinguished Achievement Award (COPSS) National Academy of Sciences member (2023) He co-authored the influential textbook Analysis of Neural Data and developed international workshops like Statistical Analysis of Neuronal Data (2002-2017), advancing neuroscience methodology globally.

• Psychology
• Adolescent Mental Health
• Social Psychology
• +3 more

Kirsten Thomas is a Researcher in the Department of Psychology at the University of Cambridge . Her scholarly activities focus on adolescent psychological responses to social isolation and digital media impacts on mental health . The department's research structure includes specialized units like the Adaptive Brain Lab , Auditory Perception Group , and Cambridge Social Decision-Making Lab that likely inform her work. Current research trajectory examines social isolation's neurobehavioral effects through human studies and neuroscience frameworks Key publication themes include adolescent reward processing , internalizing disorders , and social media interaction patterns