Find Academic Supervisors

Julijana GjorgjievaView profile

Professor

• Computational Neuroscience
• Theoretical Neuroscience
• Neural Circuit Development
• +4 more

Prof. Julijana Gjorgjieva is a tenured W3 Professor of Computational Neuroscience at the School of Life Sciences Weihenstephan, Technical University of Munich (TUM). She leads an independent research group at the Max Planck Institute for Brain Research and is affiliated with the Bernstein Center for Computational Neuroscience. Her research focuses on the principles governing neural circuit development, balancing learning plasticity with functional stability through computational and theoretical approaches. Key interests include synaptic organization, energy-efficient neural computation, and evolutionary optimality principles. Education & Career: B.Sc. Mathematics, Harvey Mudd College (2006) M.A.St. in Applied Mathematics, University of Cambridge (2007) Ph.D. Applied Mathematics, University of Cambridge (2011) Postdoctoral Fellowships: Harvard University (2011-2014), Brandeis University (2014-2016) Max Planck Research Group Leader (2016-2022) W2/W3 Professor at TUM since 2016 Research Interests: Computational neuroscience, theoretical modeling of neural circuits, synaptic plasticity mechanisms, homeostatic regulation, and the interplay of development and evolution in shaping brain architecture. She employs mathematical frameworks to study how circuits achieve robustness while enabling adaptive learning. Awards: Heinz Maier-Leibnitz Prize (2022) Eric Kandel Young Neuroscientist Prize (2021) ERC Starting Grant (2018) Multiple postdoctoral and early-career fellowships Grants & Funding: Includes DFG Collaborative Research Center on Neural Homeostasis, HFSP grants, and EU Horizon 2020 initiatives. Active in mentoring and promoting computational neuroscience through programs like Neuromatch Academy. Labs & Collaborations: Leads a multidisciplinary lab integrating experimental and theoretical approaches. Collaborates with institutions such as the Max Planck Society and international computational neuroscience networks.

Kartik SreenivasanView profile

Associate Professor

• Working Memory
• Short-term Memory
• Cognitive Neuroscience
• +14 more

Kartik Sreenivasan is Associate Professor of Psychology and Associate Program Head for Undergraduate Studies in Psychology at New York University Abu Dhabi (NYUAD), with an affiliation in Biology. He is also a Global Network Associate Professor of Psychology, reflecting his role across NYU’s global campuses. His research is centered on the neurobiological basis of working memory and goal-directed cognition. His educational background includes a BA in Psychology from Yale University and a PhD in Neuroscience from the University of Pennsylvania under Dr. Amishi Jha. He completed postdoctoral training at UC Berkeley with Dr. Mark D’Esposito and joined NYUAD in 2014. Sreenivasan’s research focuses on how the brain maintains and manipulates information in working memory. Key interests include dynamic neural coding, feature binding, effective connectivity, and the transformation of memory into action. His lab employs fMRI, MEG, EEG, TMS, and behavioral paradigms to study both healthy and clinical populations. The most recent publications highlight trends in distributed neural systems, phase-coding mechanisms in working memory, and the role of subcortical structures. His work increasingly emphasizes network-level interactions, oscillatory dynamics, and the flexibility of memory representations under interference and attentional demands. Sreenivasan has received no explicitly mentioned scientific awards in the provided text. He actively mentors PhD students (Ying Zhou, Shanshan Li, Hannah Chu) and supervises undergraduate capstone projects. His lab has been supported by institutional funding, though specific grants are not listed. He teaches core courses such as Biopsychology, Cognitive Neuroscience, and Capstone Research in Psychology and Biology. The Sreenivasan Lab at NYUAD is a vibrant research group focused on understanding the neural underpinnings of cognition. It includes postdocs, research assistants, PhD students, and undergraduates, and has produced numerous publications in high-impact journals. The lab investigates topics such as working memory organization, neural connectivity, and the interplay between perception and memory.

Stefanie BeckerView profile

Associate Professor

• Cognitive Psychology
• Neuroscience
• Attention Research
• +8 more

Associate Professor Stefanie Becker is a cognitive psychologist at the School of Psychology, University of Queensland , where she has been employed since 2007. Her research focuses on attention, visual search, and the relational account of attentional guidance using EEG, fMRI, and eye-tracking. She was awarded a PhD in Cognitive Psychology from the University of Bielefeld (Germany) in 2007, receiving the National German Dissertation Award. Education: PhD in Cognitive Psychology/Experimental Psychology, University of Bielefeld, Germany (2007) Research Interests: Relational account of attention (guidance by relative features such as 'reddest', 'darkest') Emotion and attention dynamics (e.g., processing of emotional faces) Inattentional blindness and awareness Visual working memory and attentional interference Neural mechanisms of visual search Article Trends: Her recent work (2023-2025) explores how relational features guide attention independently of context, the role of consciousness in emotional face capture, and interactions between attentional selection and visual working memory. Earlier studies (2016-2022) investigate EEG clustering techniques, spatial attention modulation by task-relevancy, and the balance between bottom-up and top-down processes in visual search. Scientific Awards: National German Dissertation Award (2007) UQ Postdoctoral Research Fellowship (2009-2018) Supervision: She supervises and has completed several PhD and Master’s projects on attentional templates, emotional face processing, visual working memory, and sensory substitution. Students include Aimee Martin, James D. Retell, and others. Labs/Teams: Becker leads the Centre for Perception and Cognitive Neuroscience at UQ, collaborating on interdisciplinary projects involving cognitive psychology, neuroscience, and computational methods.

Kristen Diliberto-MacalusoView profile

Professor

• Cognitive Psychology
• False Memory
• Perceptual Pop Out
• +6 more

Kristen Diliberto-Macaluso is a Professor of Psychology and Director of Undergraduate Research at Berry College, located in the Department of Psychological Science. She holds a Ph.D. from the University at Albany, SUNY (1996-1999), and has served in roles including Department Chair (2007-2013), Coordinator of the George Scholar Program, and has been a faculty member since 1999. Her research focuses on cognitive processes such as false memory, perceptual pop-out effects, and the interplay between emotion and memory. She also investigates practical applications like using mobile apps to enhance student learning and the psychological impacts of art. Recently, her work includes studies on academic burnout among students and autobiographical memory in Latino immigrants. Dr. Diliberto-Macaluso is deeply engaged in mentoring undergraduate researchers. Her articles span topics from religious schema activation to educational technology, emphasizing applied cognitive science. She actively participates in professional organizations like the Society for the Teaching of Psychology and the Psychonomic Society. Her teaching interests include cognitive psychology, research methods, and eyewitness memory. She has consistently integrated innovative pedagogical strategies into her courses, such as app-based learning tools, as highlighted in her Teaching of Psychology publication.

Maria Neimark GeffenView profile

Professor

• Auditory Neuroscience
• Neuronal Circuits
• Computational Neuroscience
• +5 more

Maria Neimark Geffen is a Professor at the Perelman School of Medicine , University of Pennsylvania , with appointments in the Department of Otorhinolaryngology, Neuroscience, and Neurology . She directs the Lab for Auditory Coding since 2010, focusing on how the brain encodes auditory information and how perception is shaped by experience and emotion. Her work combines two-photon imaging , optogenetics , electrophysiology , and behavioral experiments . Dr. Geffen earned her A.B. in Molecular Biology from Princeton University and a Ph.D. in Biophysics from Harvard, where she discovered a novel retinal circuit. After a postdoc at Rockefeller University, she joined UPenn, uncovering mechanisms like inhibitory neuron roles in sensory acuity and emotional learning links to auditory perception . Her recent publications highlight computational models of auditory cortex circuits , inhibitory neuron subtypes in adaptation , and cross-modal integration , reflecting her interdisciplinary approach. Scientific awards include the Burroughs Wellcome Career Award and Klingenstein Fellowship . Burroughs Wellcome Career Award at the Scientific Interface Klingenstein Foundation Award in Neurosciences Human Frontiers Young Investigator Award Auditory Neurophysiology Spotlight Award Kaufman Foundation New Initiative Grant Dr. Geffen mentors extensively, with trainees winning NIH Ruth L. Kirschstein NRSA and Brain Research Foundation Awards . Her lab collaborates across Computational Neuroscience Initiative , Hearing Sciences Center , and international institutions.

Kristina BackerView profile

Assistant Professor

• Cognitive Neuroscience
• Auditory Processing
• Bilingualism and Cognition
• +3 more

Kristina Backer is an Assistant Professor in the Department of Cognitive and Information Sciences at the University of California, Merced. Her research focuses on cognitive neuroscience, auditory processing, and the intersection of sensory systems with higher-order cognition. She employs methods such as EEG, fMRI, and behavioral experiments to investigate topics like bilingualism effects, neuroplasticity in aging, and multisensory integration mechanisms. Her work explores how auditory and visual systems interact, particularly in phenomena such as the McGurk illusion and the continuity illusion in musicians. She also examines how auditory cues influence motor timing and the neural mechanisms underlying attentional modulation in short-term memory. Backer’s studies often involve clinical populations, such as children with cochlear implants and older adults with hearing loss, to understand the cognitive and neurophysiological impacts of sensory deficits. Key research themes include the temporal dynamics of sensory processing, the neural basis of cross-modal perception, and individual differences in cognitive abilities linked to language experience and aging. Her experimental methods emphasize electrophysiological techniques combined with computational modeling to dissect neural correlates of perception and cognition. Backer’s publications highlight advancements in understanding auditory-motor integration, neuroplasticity in bilingualism, and the development of rapid diagnostic tools for sensory pathway assessment. Her research bridges fundamental neuroscience with clinical applications, aiming to improve rehabilitation strategies for auditory and cognitive impairments.

• Visual Perception
• Object Recognition
• Visual Crowding
• +7 more

Dr. Ramakrishna Chakravarthi is a Senior Lecturer at the School of Psychology, University of Aberdeen, where he leads the Consciousness, Attention, and Perception (CAP) Lab. His research focuses on the neural processes underlying visual perception, particularly object recognition, attention, short-term memory, and visual crowding. He employs psychophysics, EEG, and computational techniques to investigate fundamental questions about how we perceive and process visual information. Chakravarthi's research interests center on visual crowding as a window into object recognition mechanisms. His work examines how visual features are detected and integrated to form coherent object representations, with particular attention to spatial attention, numerosity processing, and time perception. His lab investigates neural oscillations in attention and awareness, the neural basis of crowding, subitization processes, and time perception using advanced methodologies including Steady State Visual Evoked Potentials, Multivariate Classifiers, and Representational Similarity Analysis. Analysis of his recent publications reveals a consistent focus on visual crowding as a fundamental phenomenon for understanding object recognition. His work spans multiple levels of analysis from behavioral psychophysics to neural mechanisms, with increasing integration of computational approaches. Recent research has expanded into social aspects of perception, particularly social agency and temporal binding in social interactions, while maintaining his core focus on visual processing mechanisms. Dr. Chakravarthi has successfully secured significant research funding, including a £344,000 BBSRC grant as co-PI on 'Neural mechanisms of long-range spatial vision' and multiple smaller grants totaling over £20,000. He has supervised numerous PhD students to completion and currently mentors several doctoral candidates across diverse projects related to visual perception, attention, and consciousness. The CAP Lab, which he directs, is part of the Perception and Attention theme at the University of Aberdeen's School of Psychology. The lab maintains active research programs in visual crowding, attentional mechanisms, object recognition, and time perception, utilizing state-of-the-art psychophysics and EEG facilities. Chakravarthi also coordinates the Perception and Attention group meetings, fostering collaboration among researchers with related interests.

Daniel HanusView profile

Researcher

• Physical cognition
• Causal understanding and reasoning
• Visual and memory illusions
• +5 more

Daniel Hanus is a Researcher at the Max Planck Institute for Evolutionary Anthropology in the Department of Comparative Cultural Psychology . He coordinates the Wolfgang Köhler Primate Research Center and Global Primate Study Network, with over 15 years of experience in African chimpanzee sanctuaries. His work spans Physical cognition Causal understanding Visual illusions Numerical competence Meta-cognition research in human and non-human primates. As an International Primatological Society member and ad hoc reviewer for journals like Animal Behaviour and Science , he contributes to methodological advancements. He teaches at the University of Leipzig and has held visiting positions at Free University Berlin and University of Tübingen. Hanus's research combines fieldwork at chimpanzee sanctuaries with controlled experiments to explore cognitive evolution. His 2025 publications in Nature Communications and Animal Behaviour examine neural precursors of language and social attention mechanisms, while 2023 work in Nature Ecology & Evolution reveals cognitive stability across primate development. 2009 Poster Competition Winner, Workshop on Cognition and Evolution, Rovereto 2003 Poster Competition Winner, German Primatological Society, Leipzig He coordinates research collaborations with Chimfunshi (Zambia) Tacugama (Sierra Leone) LCRP (Liberia) sanctuaries and maintains active research stays at Ngamba Island (Uganda) and Tchimpounga (Congo). Fluency in German, English, and French supports cross-cultural research initiatives.

Brett GibsonView profile

Professor

• Animal Cognition
• Behavioral Neuroscience
• Spatial Memory
• +1 more

Brett Gibson is Professor and Department Chair of Psychology at University of New Hampshire. He holds a Ph.D. from University of Nebraska and M.S. from Bucknell University, with research focusing on animal cognition and behavioral neuroscience. Research examines: Spatial memory and navigation across species Neurophysiological basis of learning and decision-making Comparative cognition in birds and rodents Visual perception and memory systems His publications demonstrate consistent focus on neural mechanisms of spatial cognition, particularly thalamocortical pathways and prefrontal function, with significant work on avian cognitive abilities in nutcrackers and pigeons.

Elizabeth RaceView profile

Associate Professor

• Cognitive Neuroscience
• Memory Systems
• Learning Mechanisms
• +3 more

Elizabeth Race is an Associate Professor in the Department of Psychology at Tufts University's School of Arts and Sciences. She holds a PhD in Neuroscience from Stanford University (2009) and completed postdoctoral training at Boston University's Memory Disorders Research Center. Her Integrative Cognitive Neuroscience Lab investigates the neural mechanisms of learning, memory, and cognitive control using fMRI and EEG techniques. Research focuses on how memory adaptively guides behavior and enables future simulations, examining both healthy adults and clinical populations with amnesia. Recent publications explore temporal dynamics of memory formation, misinformation susceptibility, and neural mechanisms of memory protection. Her work demonstrates consistent innovation in experimental paradigms linking cognitive psychology with neuroscience. She teaches courses including Brain & Behavior, Cognitive Neuroscience, and Statistics at undergraduate and graduate levels. Current research projects examine rhythmic neural synchronization during encoding and ventromedial prefrontal contributions to memory integration. Lab activities include collaborations with the Center for Applied Brain and Cognitive Sciences and research funded by the Grammy Museum Foundation.

Jennifer RuttleView profile

Assistant Professor

• Cognitive Neuroscience
• Motor Control
• Sensory-Motor Integration
• +7 more

Dr. Jennifer Ruttle is an Assistant Professor (limited term) in the Department of Psychology at Toronto Metropolitan University, Faculty of Arts. She earned her PhD in Psychology from York University and specializes in experimental psychology with a focus on the neural mechanisms underlying visuomotor adaptation and proprioception. Her research integrates behavioral experiments and neuroimaging techniques to explore how humans adapt motor actions in response to sensory discrepancies. Her research interests center on sensory-motor systems, motivation, memory, and cognition. She investigates how the brain processes visual and proprioceptive feedback during motor tasks, particularly focusing on the time course of implicit and explicit adaptation. This work contributes significantly to understanding motor learning, neural plasticity, and sensorimotor integration. Using techniques such as behavioral testing and MRI, Dr. Ruttle’s lab explores the functional organization of the brain’s dorsal and ventral pathways in shape perception and motor control. The recent publications highlight a strong trajectory in motor neuroscience, particularly examining the dynamics of proprioceptive recalibration and implicit learning. Her work consistently addresses fundamental questions about how quickly the brain adapts to altered sensory input and how different components of motor learning interact. These studies employ rigorous experimental designs and contribute to both theoretical models and practical applications in rehabilitation and human-computer interaction. Dr. Ruttle has taught across multiple institutions including York University, Seneca Polytechnic, and the University of Guelph-Humber, delivering courses ranging from introductory psychology to advanced seminars in memory, cognition, and neuroscience. While no formal advisees are listed, her active research program suggests engagement with graduate students and collaborators. She has presented her work at major conferences such as the Society for Neuroscience, reflecting her integration into the broader scientific community. Her research has been published in high-quality, peer-reviewed journals including eNeuro , Journal of Neurophysiology , Scientific Reports , and PLoS ONE . Although no specific awards or grants are mentioned in the provided text, her publication record indicates sustained scholarly productivity and scientific impact.

• Visual Perception
• Face Recognition
• Object Recognition
• +2 more

Alejandro Estudillo is a Principal Academic in Psychology at Bournemouth University, where he researches visual perception and mathematical cognition. He holds a PhD in Human Cognitive Psychology and Neuropsychology from the University of Kent, complemented by MSc degrees from the University of Edinburgh and University of Granada, and a BSc from the University of Málaga. His research examines how visual systems process information for object/environment recognition and mathematical operations. Primary interests include face recognition mechanisms, holistic/featural processing, and cognitive neuroscience. He employs eye-tracking, EEG-ERP, and behavioral paradigms to study these phenomena across diverse populations. Recent publications (2022-2025) cluster around three themes: (1) face processing (mask/inversion effects, cross-race recognition), (2) neurocognitive techniques (tDCS/tRNS modulation of face areas), and (3) applied cognition (eyewitness identification, mathematical performance). Grants & Labs: British Academy grant for facial-composite optimization (2024) Malaysian/Spanish grants for face recognition/dyscalculia research (2012-2019) Established Cognitive Neuroscience and Learning Laboratory (2018) and Neurophysiology Lab (2019) He actively supervises MRes/PhD students in face processing and mathematical cognition.

Michael SchredlView profile

Professor

• Dream Research
• Sleep Research
• Dream Memory
• +5 more

apl. Prof. Dr. Michael Schredl is a prominent dream researcher affiliated with the Sleep Laboratory of the Central Institute of Mental Health in Mannheim (ZI). His work focuses on dream memory, aging effects on dreaming, and the relationship between dreams and psychological processes. His research interests span dream memory changes with age, connections between visual memory and dream recall, dream length and verbal short-term memory, and the psychological interpretation of typical dreams like falling. He has investigated how traumatic experiences persist in dreams across generations, particularly wartime experiences among the elderly. Prof. Schredl developed expertise in nightmare treatment through Imaginary Rehearsal Therapy, a technique where patients write down nightmares, develop coping strategies, and mentally rehearse them to reduce nightmare frequency. His research also explores the relationship between physical activity and sleep quality, particularly among older adults, in collaboration with the Institute of Sports in Heidelberg. His work bridges sleep medicine and psychological dream research, clarifying misconceptions about dreaming and restful sleep. He emphasizes that dreaming itself doesn't impair sleep quality, though excessive dream recall concerns sometimes bring patients to his laboratory.

• Memory
• Attention
• Working Memory
• +5 more

Dr Dominic Guitard is a Lecturer in the School of Psychology at Cardiff University , appointed in 2022. He teaches undergraduate modules on thinking, emotion and consciousness, as well as applied cognitive science, and contributes to the MSc research-project supervision programme. Education 2018–2021: PhD in Psychology, Université de Moncton 2016–2018: MA in Psychology, Université de Moncton 2013–2016: BA in Psychology, Université de Moncton Research Interests Dr Guitard’s research lies at the intersection of memory , attention and language . Using tightly-controlled experiments and computational modelling, he investigates how people learn, maintain and retrieve item versus order information in short-term and working memory. Key factors examined include attention allocation, semantic knowledge, emotion, lexical properties, irrelevant information and dual-task demands. His theoretical goal is a unified account of memory, attention, learning and language; his applied goal is to inform educational practices and cognitive technologies. Publication Trends Across more than 60 peer-reviewed articles, Dr Guitard has steadily advanced understanding of serial recall, recognition memory and working-memory limitations. Recent work (2024–2025) clusters around four themes: (1) computational frameworks predicting veridical and false recall; (2) the interplay between working-memory capacity and long-term retention across the lifespan; (3) phonological and semantic influences on order memory; and (4) methodological factors such as stimulus duration, presentation modality and set size. Collaborations & Funding He collaborates extensively with leading laboratories in the USA (e.g., University of Missouri, University of Illinois), Canada (Université de Moncton, University of Manitoba), the UK and Australia, and was supported by an NSERC Postdoctoral Fellowship (2021–2022). Supervision & Mentoring Current PhD supervision: Helena Leach Personal tutor and contributor to MSc research-project module (PST723) Available for further postgraduate supervision Editorial & Service Roles Dr Guitard serves as an ad-hoc reviewer for over a dozen international journals, including Journal of Experimental Psychology: General , Memory & Cognition , Quarterly Journal of Experimental Psychology and Cognition .

Sukbin LimView profile

Associate Professor

• Neuroscience
• Computational Neuroscience
• Neuronal Systems
• +3 more

Sukbin Lim is an Associate Professor of Neural Science at NYU Shanghai and a Global Network Associate Professor at New York University's Center for Neural Science. She holds a PhD in Mathematics from NYU and a BS from Seoul National University. Her research focuses on computational models of neuronal systems, particularly exploring working memory, synaptic plasticity, and neural circuit dynamics. She has contributed to understanding mechanisms underlying visual response dynamics, learning rules in cortical neurons, and noise tolerance in neural networks. Lim's work spans theoretical neuroscience and experimental analysis, with publications in Nature Neuroscience , Journal of Neuroscience , and eLife . Her recent studies investigate sensory-memory interactions, decision biases in visual working memory, and unsupervised learning frameworks. She teaches courses on mathematical tools for life sciences and theoretical neuroscience at NYU. Her research highlights include modeling corrective feedback control in spatial working memory and analyzing cerebellar granule neuron signaling during visuomotor tasks. Lim’s interdisciplinary approach bridges computational methods with experimental neurobiology to uncover fundamental principles of neural processing.