Find Academic Supervisors

• Neuroscience
• Visual Perception
• Neural Circuits
• +5 more

Liang Liang is an Assistant Professor in the Department of Neuroscience at Yale School of Medicine. She holds a B.S. in Mathematics and Physics from Tsinghua University, followed by an M.S. and Ph.D. in Applied Physics from Stanford University. Her postdoctoral training at Harvard Medical School focused on retinal axon function in mice. Her research explores visual thalamic circuitry and information processing using in vivo imaging, genetics, and computational methods. Education: B.S. Tsinghua University (2006), M.S./Ph.D. Stanford University (2013) Affiliations: Wu Tsai Institute, Interdepartmental Neuroscience Program Research interests include visual system computation, thalamic circuitry, and neuromodulation. Key projects investigate how visual information is selectively processed and transmitted through the thalamus to the cortex. Recent articles highlight mechanisms of axonal connectivity and arousal-driven thalamic gating of retinal inputs. Awards: Lawrence Young Investigator Award, Whitehall Foundation Grant, Kavli Award Laboratory: Liang Lab focuses on retino-thalamo-cortical pathways and synaptic organization

Donald O’MalleyView profile

Associate Professor

• Neuroscience
• Systems Neuroscience
• Computational Neuroscience
• +5 more

Donald O'Malley is an Associate Professor in the Department of Biology at Northeastern University, where he directs the Systems Neurobiology of Fish and Men laboratory. His research integrates cellular, systems, and computational approaches to investigate neuronal networks underlying complex behaviors in zebrafish models and mammalian cortical function. His primary research interests span Systems Neuroscience, Computational Neuroscience, and Behavioral Neuroscience, with specific focus on nuclear calcium signaling, cholinergic/GABAergic co-transmission in visual-motion detection, and symbolic operations in mammalian cortex. He explores pre-linguistic brain modules and their evolutionary role in language development, alongside knowledge organization in neocortex and its degradation in aging/neuropathology using reflective learning algorithms like Digital Maze games. Analysis of his recent publications (2005-2014) reveals a dominant theme of zebrafish neuroethology, examining locomotor control, social hierarchies, and neural circuitry through advanced imaging and computational modeling. His work bridges experimental neuroscience with engineering innovations, particularly in nanowire-based neural recording interfaces and 3D confocal analysis. Dr. O'Malley's laboratory employs confocal and high-speed imaging to dissect neural mechanisms of behavior in intact vertebrates, maintaining active research on how neuronal populations generate locomotor, social, and predatory behaviors while investigating cortical mechanisms of symbolic processing and language evolution.

Luc BoutsenView profile

Lecturer

• Visual Cognition
• Face Perception
• Object Perception
• +4 more

Luc Boutsen is a Lecturer in the School of Psychology at Aston University, part of the College of Health and Life Sciences. His research focuses on visual cognition, particularly the neural and cognitive mechanisms underlying face and object perception, attention, and decision-making. He is affiliated with the Cognition & Neuroscience Research Group (CNRG), Research Centre for the Humanities, and Centre for Vision and Hearing Research. Boutsen holds a Ph.D. in Psychology from Université P. Mendes France (1998), an M.Sc. in Cognitive Science from the University of Birmingham (1995), and a B.Sc. in Psychology from Katholieke Universiteit Leuven (1993). His current research projects include studying facial differences in cognitive neuroscience, category-specificity in object recognition, and tool perception. Methodologically, he employs EEG and ERP techniques to investigate event-related potentials and oscillatory brain activity during cognitive tasks. Teaching responsibilities include directing the MSc Psychology (Conversion) program and teaching courses like PY4520 Research Project in Psychology and PY3508 Perceiving People. Recent publications highlight studies on facial disfigurement effects on attention, covert attention mechanisms, and other-race face processing using ERP analysis. Boutsen actively participates in conferences such as the European Conference on Visual Perception and the Psychonomic Society Annual Meeting, contributing to discussions on visual cognition and perception.

• Neuroimaging
• Fractal Analysis
• Neurophysiology
• +3 more

Andras Eke, MD, PhD, is an Adjunct Professor in the Department of Radiology & Biomedical Imaging at Yale School of Medicine. He holds a PhD from the Hungarian Academy of Sciences (1988) and an MD from the Medical University of Budapest (1973). His research focuses on fractal analysis of neurophysiological signals, functional brain connectivity, and the impact of aging and neurological disorders on brain dynamics. Key areas include Alzheimer's disease, Parkinson's disease, and the application of advanced signal processing techniques to neuroimaging data. Education: MD (Medical University of Budapest, 1973), PhD (Hungarian Academy of Sciences, 1988) Research interests span multifractal analysis, resting-state brain networks, and the development of real-time algorithms for physiological signal analysis. He has collaborated with institutions globally and contributed to over 60 peer-reviewed publications. His work emphasizes translational applications in clinical neuroimaging and systems neuroscience.

• Neural Circuit Development
• Neuroscience
• Visual System Development
• +6 more

Michael Crair is the Vice Provost for Research at Yale University and holds the title of William Ziegler III Professor of Neuroscience and Professor of Ophthalmology & Visual Science at Yale School of Medicine. He leads research in neural circuit development, particularly focusing on how spontaneous activity shapes brain circuit formation. His work integrates advanced imaging techniques like mesoscopic calcium imaging and fMRI to study cortical networks. Crair has pioneered studies on retinal waves and their role in visual system development. Education: PhD in Physics from UC Berkeley (1991), postdoctoral training at Kyoto University, UCSF, and Baylor College of Medicine before joining Yale in 2007. He has served as Deputy Dean for Scientific Affairs and Director of Yale’s Vision Core Program. Research interests span neurodevelopment, synaptic plasticity, and neuroimaging. Key contributions include demonstrating the necessity of early neuronal activity in normal brain development and developing novel imaging tools for studying large-scale neural dynamics. Awards include the Klingenstein Fellowship, Sloan Research Fellowship, and NIH grants. His lab collaborates widely, with projects on Alzheimer’s disease models and PTEN mutation impacts. He advises on interdisciplinary research initiatives and chairs committees promoting scientific innovation. Labs/Teams: Crair Lab focuses on circuit development and neuroimaging. Collaborations include the Kavli Institute for Neuroscience and Wu Tsai Institute.

Huibert MansvelderView profile

Professor

• Neuroscience
• Neurophysiology
• Fluorescence imaging
• +7 more

Huibert Mansvelder is a Full Professor of Neurophysiology at the Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit Amsterdam. His research focuses on integrative neurophysiology, combining cellular and systems neuroscience approaches to study cortical function, cognition, and neuromodulation. He leads the department of Integrative Neurophysiology and directs the Bachelor Honours Programme at VU's Faculty of Science. Research interests include: Neurophysiological mechanisms of attention and cognitive control Cholinergic and nicotinic modulation of cortical circuits Comparative human-mouse neuronal physiology Ion channel biophysics in human cortical neurons Neurogenomics of cognitive disorders Neuronal network dynamics in prefrontal cortex Grant support includes: NIH Brain Initiative grants (BICCN and BICAN, 2017-2027) ERC Advanced Grant (2023-2028) NWO Gravitation Award 'Brainscapes' (2020-2030) Scientific awards : NWO VIDI (2006) and VICI (2014) awards ERC Consolidator (2011) and Proof-of-Concept (2015) grants ENI-Net Young Investigator (2007) Member of KNAW Young Academy (2006)

Enny van BeestView profile

Academic

• Vision Science
• Behavioral Neuroscience
• Cognitive Neuroscience
• +3 more

Dr. Enny van Beest is a Senior Research Fellow at the Institute of Ophthalmology, University College London, working in the lab of Professors Carandini and Harris. Her research focuses on understanding how spatial and sensory information is integrated across the brain, with particular emphasis on distributed neural coding mechanisms. She has developed UnitMatch, software for tracking neurons across longitudinal recordings using Neuropixels probes. Education includes a PhD in Neuroscience from the Netherlands Institute for Neuroscience (2020), an MSc in Brain and Cognitive Neuroscience from the University of Amsterdam (2015), and a BSc in Psychobiology (2013). She has held postdoctoral positions at UCL since 2020, and was a Marie Skłodowska-Curie Fellow (2020). Research interests span vision science, behavioral neuroscience, and computational methods. Recent work includes studying spatial navigation in sensory contexts, basal ganglia pathways' influence on perceptual decisions, and the neural basis of figure-ground perception. Her software contributions have received awards for open science practices. Awards include the UCL Research Excellence Award (2025) and recognition for her UnitMatch tool (2024). She mentors students and actively participates in initiatives promoting inclusive recruitment and science education. Current projects aim to establish her own research group investigating distributed neural mechanisms of visually guided behavior.

Jia LiuView profile

Assistant Professor

• Bioengineering
• Neuroscience
• Nanoelectronics
• +7 more

Jia Liu is an Assistant Professor of Bioengineering at Harvard University's School of Engineering and Applied Sciences (SEAS). He leads the Jia Liu Group, focusing on developing bioelectronic technologies to interface with biological systems, including brain-machine interfaces, cyborg organoids, and cardiac tissue engineering. His interdisciplinary research integrates nanoelectronics, soft materials, genetic engineering, and computational tools to address challenges in neuroscience, cardiology, and developmental biology. Education: Ph.D. in Chemistry and Chemical Biology from Harvard University (2009), postdoctoral training at Stanford University. He teaches courses like 'Introduction to Bioelectronics' and 'Neuroengineering'. Research Interests: Flexible nanoelectronics for chronic neural recording Cyborg organoids for developmental biology studies Biohybrid systems combining electronics and living tissues Machine learning for multimodal biological data analysis Key Achievements: Recipient of MIT Technology Review's 35 Innovators Under 35 (2022) NSF EFRI Award (2024), NIH R01 Grant (2023) Co-founder of Axoft Inc., a startup commercializing soft neural probes Lab Leadership: Mentors over 20 graduate students and postdocs, emphasizing interdisciplinary collaboration. Current lab focuses on scalable bioelectronics platforms and AI-driven biological data analysis. Future Directions: Developing brain-computer interfaces for clinical applications and advancing cyborg engineering to bridge natural and artificial intelligence.

George A. AlvarezView profile

Professor

• Visual Cognition
• Attention
• Working Memory
• +4 more

George A. Alvarez is a Fred Kavli Professor of Neuroscience at Harvard University's Department of Psychology, part of the Faculty of Arts and Sciences. He co-directs the Vision Sciences Laboratory, focusing on understanding how the brain and machines process visual information. His research integrates cognitive neuroscience, computer vision, and deep learning to explore visual representation formats and their impact on perception and cognition. Education: B.A. from Princeton University, Ph.D. from Harvard University, and postdoctoral training at MIT. His work emphasizes the intersection of human and artificial vision, including attention, working memory, and efficient coding strategies. He teaches advanced courses like 'Biological and Artificial Visual Systems' and chairs Harvard Psychology's Diversity, Inclusion, and Belonging Committee. Research highlights include studying visual working memory capacity, hemifield attentional mechanisms, and the role of deep learning models in predicting human visual responses. His lab develops tools like VISCNN for interpreting CNNs and investigates how task demands shape neural representations. Recent articles explore large language models' predictive power over brain activity and contrastive learning's role in visual cortex modeling. Grants and collaborations include NSF-funded projects on visual cognition and NIH grants for neurocognitive studies. His work bridges computational models with human experiments, aiming to advance both fields through 'virtuous cycles' of discovery.

Becky JacksonView profile

Lecturer

• Semantic Cognition
• Neuroimaging
• Computational Neuroscience
• +3 more

Becky Jackson is a Lecturer in the Department of Psychology at the University of York since 2022. She holds a BSc and PhD in Psychology from the University of Manchester (2010, 2014). Previously, she held a British Academy Postdoctoral Fellowship (2017–2021) and an EPSRC Doctoral Prize Fellowship (2014–2016). Her research focuses on neurocomputational approaches to semantic cognition, investigating semantic control, representation, and their interaction across the lifespan. She leads the NECSUS Lab, which combines computational modeling and neuroimaging techniques to understand brain architecture supporting complex cognition. Education: BSc Psychology (Manchester, 2010), PhD Psychology (Manchester, 2014) Research Interests Dr. Jackson’s work explores how the brain integrates conceptual knowledge and contextual control, using fMRI, MEG, and computational models. She investigates semantic networks, functional connectivity gradients, and the neural basis of semantic deficits in disorders. Her lab emphasizes translational research between computational theories and empirical neuroimaging findings. Publications Her recent work includes studies on semantic network dynamics, functional organization of temporal and frontal cortices, and the neural overlap between theory of mind and semantic cognition. Key contributions include methodological advancements in EEG/MEG functional connectivity analysis. Frith Prize (Experimental Psychology Society, 2014) British Academy Fellowship (2017–2021) EPSRC Doctoral Prize (2014–2016) Advising & Grants She supervises PhD students in semantic cognition and neuroimaging techniques. Her research is supported by interdisciplinary collaborations, including with the MRC Cognition & Brain Sciences Unit and institutions across Europe. She chairs the Board of Examiners (since 2023) and serves as an LGBTQ+ Champion at York. Labs & Teams NECSUS Lab (NEuroComputational Strategy to Understand Semantics) focuses on multi-disciplinary approaches to semantic control and representation, emphasizing lifespan development and computational-brain interface.

• Tumor Immunology
• Functional Connectomics
• Neurosurgery
• +4 more

Dr. Jacky Yeung is an Assistant Professor of Neurosurgery at Yale School of Medicine, specializing in minimally invasive neurosurgical techniques and tumor immunology. He holds affiliations with the Chen Lab and is a member of the American Association of Neurological Surgeons. His clinical expertise includes endoscopic cranial and spinal surgery, with a focus on brain and spinal disorders. Dr. Yeung completed his MD at Michigan State University and his neurosurgery residency at Yale-New Haven Hospital, followed by a fellowship in minimally invasive neurosurgery in Sydney, Australia. Education: BSc (Honors Physiology), University of British Columbia (2008) MD, Michigan State University College of Human Medicine (2013) Residency: Neurosurgery, Yale-New Haven Hospital (2020) Fellowship: Centre for Minimally Invasive Neurosurgery, Sydney, Australia (2021) Research Interests: Tumor immunology: Mechanisms of immune evasion in gliomas and meningiomas Functional connectomics: Machine learning applications for preoperative brain mapping and neurorehabilitation Minimally invasive neurosurgical innovations: Endoscopic techniques and personalized transcranial magnetic stimulation (TMS) Key Achievements: Recipient of the Doris Duke Clinical Research Fellowship (2011) Developed a peptide vaccine for ependymoma clinical trials (NIH-funded) First neurosurgeon to publish on personalized preoperative brain mapping using connectome analysis Author of Connectomic Medicine , a seminal work in functional brain mapping Grants & Recognition: AANS Tumor Section Skull Base Research Award (2019) Yale School of Medicine's Dennis D. Spencer Academic Achievement Award (2017) Over 50 peer-reviewed publications in journals like Science Immunology and Neuro-Oncology Labs & Teams: Active member of the Chen Lab at Yale, focusing on tumor immunology and neurosurgical innovation.

• Face Recognition
• Neural Plasticity
• Prosopagnosia
• +4 more

Dr. Jodie Davies-Thompson is a Lecturer in Psychology at Swansea University, affiliated with the School of Psychology within the Faculty of Medicine, Health and Life Science. Her research focuses on visual processing, neural plasticity, and face recognition deficits, particularly in conditions like prosopagnosia. She employs advanced neuroimaging techniques such as fMRI, DTI, and MVPA to study brain organization and rehabilitation strategies. Dr. Davies-Thompson’s work spans three core areas: multisensory integration of faces and voices, perceptual learning for prosopagnosia rehabilitation, and cross-modal plasticity in sensory-impaired populations. She is actively involved in supervising postgraduate research and teaches modules on neuroimaging analysis and experimental design. Her recent publications highlight advancements in understanding developmental and acquired face-processing disorders, leveraging machine learning and behavioral interventions. Collaborations include projects on deafness and blindness-related plasticity, funded by grants such as the 'Cross-modal plasticity in congenital and acquired deaf individuals' (2015). Dr. Davies-Thompson holds a strong academic background, with postdoctoral positions at the University of Nottingham, University of Trento, and University of British Columbia. She is committed to advancing cognitive neuroscience through interdisciplinary approaches and is an active contributor to the Face Research Swansea (FaReS) group.

Francesco LacquanitiView profile

Professor

• Neuroscience
• Gait and Posture
• Space Physiology
• +3 more

Francesco Lacquaniti is a Full Professor of Physiology at the University of Rome Tor Vergata and Director of the Center for Space Bio-Medicine there. He also leads the Department of Neuromotor Physiology at the Scientific Institute Santa Lucia Foundation in Rome. His academic journey includes positions at Cagliari University, University of Minnesota, and roles with the Italian National Research Council. Lacquaniti holds an M.D. and Neurology specialization from Turin University, followed by post-doctoral research in Minnesota. His research focuses on Neuroscience, Gait/Posture, and Space Physiology, particularly motor control systems, neural programming of movement, and gravitational effects on human physiology. Notable contributions include studies on locomotor primitives in infants and the neural basis of interception timing. Lacquaniti has authored over 130 peer-reviewed articles and serves on editorial boards of major journals like Experimental Brain Research and Frontiers in Exercise Physiology . Key honors include membership in Academia Europaea (2012), lifetime achievement awards in Space Biomedicine, and multiple keynote lectureships. He advises European and North American research agencies and has held leadership roles in neurosciences societies.

• Cognitive Neuroscience
• Visual Perception
• Neuroimaging
• +7 more

Stefania Bracci is an Assistant Professor in the Department of Psychology and Cognitive Science at the University of Trento, Italy, and a Principal Investigator of the Object Vision group at the Center for Mind/Brain Sciences (CIMeC). She holds academic positions since 2011, including roles as a Research Fellow at KU Leuven (2016–2019) and Postdoctoral Fellow (2014–2016). Her research focuses on human visual cortex organization , employing behavioral experiments, neuroimaging (e.g., fMRI, MEG), and deep neural networks (DNNs). She has organized scientific meetings like CAOs and serves as a reviewer for top journals such as PNAS , Nature Communications , and NeuroImage . Education: PhD in Cognitive Neuroscience (Northumbria University, UK, 2011), MSc in Neuropsychology (University of Bologna, 2007), and BSc in Psychology (University of Bologna, 2005). Her doctoral thesis explored Neural Correlates of Hand-Tool Interaction . Research Interests: Visual perception, object and body representation, MVPA, DNNs, and functional neuroimaging. She investigates how visual cortex encodes objects and body parts through cross-modal and computational approaches. Awards: FWO grants (2016–2019), travel awards from Elsevier and Brain Research Foundation, and multiple conference abstract awards (2010–2013). She has also received prestigious scholarships, including a PhD grant from Northumbria University. Teaching: Coordinates courses like Computational Modelling of Perception and Advanced Hands-on fMRI Analysis at CIMeC. She also contributed to Cognitive Neuroscience and Human Brain Neuroimaging modules. Labs/Teams: Leads the Object Vision group at CIMeC, focusing on interdisciplinary research merging neuroscience, AI, and experimental psychology.

Axel HuttView profile

Researcher

• Neural Systems
• Nonlinear Stochastic Processes
• Data Assimilation
• +4 more

Dr. Axel Hutt is a senior researcher (Directeur de Recherche) at INRIA Grand Est in Strasbourg, France, leading the MIMESIS team. His work focuses on neural systems modeling, nonlinear dynamics, and data assimilation in complex systems. He holds a PhD from the University of Stuttgart (2001) and an HDR (Habilitation) from the University of Nice (2013). Hutt’s research bridges neuroscience, mathematics, and engineering, with contributions to anesthesia modeling, neurostimulation, and EEG analysis. He has held roles at the Max Planck Institute, Humboldt University Berlin, and the University of Ottawa, and received the Schloessmann Fellowship (2000) and ERC Starting Grant (2011). His current projects include PhD supervision of T. Nette and participation in high-profile conferences like Re:publica and ICMNS. Recent work explores myelination effects, closed-loop neurostimulation, and AI ethics. Education: Physics Diploma (Stuttgart, 1997), PhD (Stuttgart, 2001), HDR (Nice, 2013) Key Roles: INRIA Team Leader (MIMESIS, 2019–present), NeuroSys Team Head (2013–2015) Research Themes: Neural field theory, stochastic processes, clinical neurostimulation applications Publications: Over 180 peer-reviewed articles across journals like Communications Physics and PLoS Computational Biology , focusing on noise-driven dynamics, EEG modeling, and computational psychiatry. Awards: ERC MATHANA Grant (2011), Schloessmann Fellowship (2000)