Find Academic Supervisors

Anita TuscheView profile

Assistant Professor

• Neuroeconomics
• Decision-Making
• Cognitive Neuroscience
• +3 more

Anita Tusche is an Assistant Professor in the Department of Economics and holds a cross-appointment in the Department of Psychology at Queen's University, Canada. She is also a member of the Centre for Neuroscience Studies and a Visiting Associate at the California Institute of Technology. Her research focuses on neuroeconomics, combining insights from psychology, neuroscience, and behavioral economics to model decision-making processes related to dietary choices, altruism, and consumer behavior. She employs fMRI, eye-tracking, computational modeling, and machine learning techniques. Education: PhD in Psychology, Humboldt-Universität zu Berlin (2013) M.A. in Psychology, Technische Universität Dresden (2007) Research Interests: Neuroeconomics, cognitive and social neuroscience, computational modeling of decision-making, prosocial behavior mechanisms, neural correlates of empathy, and the role of attention in decision processes. Her lab investigates how neural processes influence choices across diverse domains like health behaviors and social interactions. Grants & Advising: Supervised PhD student Dr. Lisa Bas (completed 2023) Current postdoc: Remi Janet (2023–present) Lab Activities: Queen’s Neuroeconomics Laboratory explores decision-making through interdisciplinary methods. Recent projects include studies on dietary self-control mechanisms, stress effects on altruism, and neural coding of social value. The lab emphasizes translational research to improve real-world outcomes in health and environmental contexts.

Robert LiuView profile

Professor

• Neuroscience
• Computational Neuroethology
• Auditory System
• +3 more

Dr. Robert Liu is a Professor in the Department of Biology at Emory University and Associate Director of the Computational Modeling and Bioinformatics Core (CMBC). He also holds an affiliation with the National Primate Research Center. His academic journey began with a B.S. in Physics from Stanford University, followed by a Ph.D. in Applied Physics, and transitioned into neuroscience through postdoctoral work at the University of California, San Francisco. Education B.S. in Physics, Stanford (1991) Ph.D. in Applied Physics, Stanford (1998) Postdoc, UCSF Sloan-Swartz Center for Theoretical Neurobiology Dr. Liu’s research focuses on the neurophysiological mechanisms underlying natural social behaviors, particularly acoustic communication in mice and pair bonding in prairie voles. His Computational Neuroethology Laboratory integrates computational, electrophysiological, optogenetic, neurochemical, and behavioral methods to investigate how neural circuits encode and adapt to social cues, with emphasis on oxytocin, BDNF signaling, and experience-dependent plasticity. Recent publications highlight his work in bioacoustic analysis, social learning, and neurochemical modulation. Key themes include auditory cortex function, rodent communication systems, and neural mechanisms of social reward. His research has been continuously funded by the NIH since 2001. Notable awards include the Winship Distinguished Research Professorship (2014-2017). He contributes to the neuroscience community as program chair for international meetings, advisory committee member for France’s NeuroPSI institute, and NIH study section member on audition. Contact: robert.liu@emory.edu

Morgan GustisonView profile

Assistant Professor

• Social Behavior
• Evolutionary Biology
• Neuroscience
• +3 more

Dr. Morgan Gustison is an Assistant Professor in the Department of Psychology at Western University. She leads the Laboratory of Social NeuroEthology, focusing on interdisciplinary research exploring how social behaviors evolve and their neural underpinnings. Her work bridges zoology, psychology, and neuroscience across species and biological levels. Education: B.A. Zoology & Psychology (University of Wisconsin-Madison), M.Sc. (University of Roehampton), Ph.D. (University of Michigan). Postdoctoral research at Princeton Neuroscience Institute and University of Texas at Austin explored neural systems of social bonding in rodents. At Western University since 2023. Research interests include social behavior evolution, communication mechanisms, and the neurobiology of social bonding. Uses comparative approaches with mammals like geladas and prairie voles. Current projects examine communication behaviors' role in social connections and neural systems supporting monogamy. Lab activities emphasize collaborative, interdisciplinary research. Active in recruiting motivated researchers to join studies on social neuroethology.

Jordan PoppenkView profile

Associate Professor

• Cognitive Neuroscience
• Memory Formation
• fMRI Analysis
• +6 more

Jordan Poppenk is an Associate Professor in the Department of Psychology at Queen's University. His research focuses on the neural mechanisms of memory formation, retrieval, and their consequences. He employs fMRI and computational modeling to investigate hippocampal function, neural reactivation, and individual differences in memory ability. Poppenk is affiliated with the Cognitive Neuroscience Program and has contributed to neuroanatomical modeling methodologies. Education: B.Sc. (Hons), Western University, 2005 M.A., University of Toronto, 2007 Ph.D., University of Toronto, 2011 Research Interests: Poppenk studies how memory retrieval influences future cognition, including planning and perception. His work examines hippocampal specialization along its long axis and the effects of brain anatomy on memory performance. He develops methods to analyze neuroanatomical complexity and investigates neural correlates of motor learning and emotional memory. Key Themes in Publications: His recent work addresses rumination in depression, hippocampal volume changes, pandemic stress impacts, and sleep's role in memory consolidation. Findings emphasize neuroanatomical markers (e.g., entorhinal/hippocampal volumes) predicting cognitive abilities and psychiatric outcomes. Awards & Grants: No specific awards are listed, but his extensive publications suggest sustained research funding. Grants likely support his neuroimaging and computational work. Labs & Teams: His lab focuses on combining fMRI with computational approaches. Collaborations include the CAN-BIND study on depression and trauma effects.

• Cognitive Neuroscience
• Neuropsychology
• Decision-Making
• +7 more

Giuseppe Di Pellegrino is a Full Professor of Cognitive Neuroscience at the Department of Psychology "Renzo Canestrari" of the University of Bologna, Italy. His career spans over decades, with prior roles including Associate Professor at the same institution and Senior Lecturer at Bangor University, UK. Education Ph.D. in Neuroscience, University of Parma (1995) Specialization in Neurology, University of Modena, Cum Laude (1990) Medical Degree, University of Modena, Cum Laude (1985) High School Diploma, Liceo Scientifico "G. Marconi," Foggia (1978) Research Interests His research focuses on the neural and cognitive mechanisms of decision-making, reinforcement learning, and emotional cognition, with significant contributions to understanding how the motor system interacts with cognitive processes. He pioneered studies on peripersonal space and Pavlovian-to-instrumental transfer, revealing how environmental cues modulate behavior. His work bridges cognitive neuroscience and neuropsychology, particularly in healthy and neurological populations. Publications and Trends His recent articles explore pain anticipation, neural oscillations in decision-making, Pavlovian biases, and neurodevelopmental disorders. Themes include the role of beta power in cognitive control, state-dependent plasticity in motor learning, and social space regulation in autism. Scientific Contributions Leverhulme Visiting Professor (2016) Grants and Projects PRIN 2022 (2023–2025): Decision-making through the motor system FLAG-ERA JTC 2019 (2019–2022): MoDeM Project Coordinator

Dylan WagnerView profile

Associate Professor

• Social Psychology
• Cognitive Neuroscience
• Person Perception
• +5 more

Dr. Dylan Wagner is an Associate Professor in the Department of Psychology at The Ohio State University, affiliated with the Center for Cognitive and Behavioral Brain Imaging and the Center for Cognitive and Behavioral Science. He holds a PhD from Dartmouth College (2011) and a BA from McGill University (2003). His research explores the neural basis of person perception and self-regulation failures, using techniques like fMRI and machine learning. Key areas include social cognition, reward systems, and the brain mechanisms underlying self-control. Research Interests: Neural representation of self and others Social perception and media influence Self-regulation and desire control Public health implications of behavioral neuroscience Notable Articles: Recent work includes studies on political polarization's neural correlates, e-cigarette use patterns in youth, and the link between loneliness and blurred boundaries between real and fictional others. His articles often bridge cognitive neuroscience with real-world behaviors, such as predicting self-regulation failures through brain imaging. Awards: Rising Star Award (APS, 2015) Fellowships from Summer Institute in Cognitive Neuroscience (2013, 2009) Lab & Collaborations: His Wagner Lab oversees graduate students like Rani Bawa and Huanqing Wang, focusing on topics like parasocial relationships and neural mechanisms of social decision-making. The lab's work has been featured in documentaries and media outlets like Scientific American.

• Medical Imaging
• Computer Vision
• Machine Learning
• +4 more

Professor Yalin Wang is a faculty member in the School of Computing and Augmented Intelligence (SCAI) at Arizona State University (ASU), where he has held roles since 2010. He was promoted to full Professor in 2023, following his tenure as Associate Professor starting in 2017. His research focuses on medical imaging, computer vision, machine learning, and neuroimaging, with an emphasis on Alzheimer’s disease biomarker discovery and geometric modeling. He leads the Geometric & Scientific Computing Lab (GSL), hosting a research website at http://gsl.lab.asu.edu . Education: PhD in Electrical Engineering (University of Washington, 2002), MS and BS in Computer Science (Tsinghua University, 1996 and 1994). Research interests include surface-based morphometry, optimal transport applications in neuroimaging, and deep learning for medical image analysis. He has published over 200 peer-reviewed papers and received the 2016 ASU CIDSE Best Junior Faculty Researcher Award, among other accolades. His grants include NIH-funded projects on Alzheimer’s biomarkers, retinotopic mapping, and pediatric brain development. Collaborations span institutions like Mayo Clinic and ADNI. Notable contributions include developing neurodegeneration biomarkers using low-rank/sparse subspace decomposition and predictive models for cognitive decline via hyperbolic stochastic coding.

Nim TottenhamView profile

Professor

• Developmental Affective Neuroscience
• Limbic-Cortical Development
• Early-Life Stress
• +3 more

Nim Tottenham is a Professor and Department Chair in the Department of Psychology at Columbia University. She also holds an adjunct appointment as an Associate Professor in the Child Study Center at Yale School of Medicine. Her research focuses on developmental affective neuroscience, examining the neural mechanisms underlying emotional development and the impact of early-life adversity on brain circuitry. She received her PhD from the University of Minnesota and completed postdoctoral training at Weill Cornell Medical College. Her work integrates behavioral and neuroimaging techniques to study limbic-cortical development, with a particular emphasis on the amygdala and its connections. Key areas of research include emotional reactivity, caregiving influences, and resilience mechanisms in children exposed to adversity. She leads the Developmental Affective Neuroscience Lab (DANLab), which investigates these topics through longitudinal and cross-cultural studies. Tottenham has received prestigious awards, including the APA’s Distinguished Scientific Award and the NIMH BRAINS Award. Her publications span topics like neural plasticity, caregiving effects, and machine learning applications in mental health. Ongoing projects include investigating resilience in South African birth cohorts and leveraging predictive models to identify caregiving risks for child mental health.

• Computational Psychopathology
• Contingency Learning
• Evidence-Based Medicine
• +3 more

Santiago Castiello is a Stipendiary Lecturer at St Anne's College, University of Oxford, specializing in computational psychopathology and contingency learning. His research focuses on understanding individual differences in learning mechanisms across the schizotypal spectrum using computational modeling and experimental paradigms. He actively contributes to evidence-based healthcare through his work with the Cochrane Collaboration, co-founding the Mexican Cochrane Center in 2018 and Evidology, a non-profit training health professionals in Evidence-Based Medicine. Recognized in 2019 as part of the '30 under 30' for global health advocacy, his interdisciplinary work bridges neuroscience, clinical psychology, and public health. Education: D.Phil. (Doctorate) in Experimental Psychology Research Interests: Computational models of learning deficits in psychosis Contingency weighting and causal inference in mental disorders Application of machine learning to human-AI trust dynamics Global health equity in evidence synthesis Key Contributions: Developed the Two-stage reinforcement learning task to predict clinical traits Advanced understanding of trial spacing effects in perceptual learning Advocated for gender diversity in systematic review authorship Labs/Teams: Member of the University of Oxford's Computational Psychopathology research group collaborating with Prof. Robin Murphy in Experimental Psychology.

• Behavioral Economics
• Cognitive Psychology
• Attention Economics
• +3 more

Zachary Wojtowicz is a Post-Doctoral Fellow in the Department of Economics at Harvard University, supervised by Professor Matthew Rabin. His research bridges behavioral economics and cognitive psychology , focusing on how attention and mental resources shape preferences, beliefs, and decision-making in digital environments. Core Research Themes Behavioral economics of attention and mental resource allocation Application of economic theory to AI and social media dynamics Cognitive processes in sense-making and belief formation His recent publications emphasize attentional agency in digital platforms, AI's impact on cooperation , and the economics of willful inattention . These works span interdisciplinary intersections of psychology, computer science , and neuroeconomics .

Anina RichView profile

Professor

• Sensory Processing
• Selective Attention
• Multisensory Integration
• +3 more

Anina Rich is a Professor at Macquarie University's School of Psychological Sciences and an ARC Future Fellow. She is affiliated with the Performance and Expertise Research Centre and the Perception in Action Research Centre. Her research focuses on sensory processing, particularly selective attention mechanisms and multisensory integration, including synaesthesia studies. She has received numerous awards, including being a finalist in the Australian Museum Eureka Prizes (2001, 2002) and the Australian Postgraduate Award (2001-2004). Her work combines psychophysics, neuroimaging, and cognitive neuroscience to explore attention dynamics and synaesthesia. Research Interests: - Selective attention: Balancing voluntary and involuntary attention, applied in medical imaging contexts, sustained attention, and neural underpinnings. - Multisensory integration: Investigating synaesthesia (e.g., mirror-touch, grapheme-color), exploring how sensory modalities interact. - Neuroimaging techniques: Using fMRI and MEG to study brain regions involved in attention and perception. Awards: 2001-2004 Australian Postgraduate Award 2004 Cognitive Neuroscience Society Graduate Student Award 2005 Australian Psychological Society Excellent PhD Thesis Award Multiple media engagements on synaesthesia and perception Grants/Projects: Dealing with Distraction: Understanding Recovery After Interruption (2024-2028) Improving Inferences from Brain Imaging to Understand Selective Attention (ongoing) Magnetic Resonance-Compatible Audio-Visual Stimulus Delivery System (2014-) Labs/Teams: Active member of the Perception in Action Research Centre and collaborator in the Centre for Elite Performance Expertise and Training (CEPET).

Tristan GeillerView profile

Assistant Professor

• Neuroscience
• Neurophysiology
• Learning and Memory
• +3 more

Tristan Geiller is an Assistant Professor in the Department of Neuroscience at Yale School of Medicine and a Wu Tsai Institute Investigator. He holds appointments in the Interdepartmental Neuroscience Program and the Yale Combined Program in the Biological and Biomedical Sciences (BBS). His research focuses on neural circuits underlying learning and memory, with expertise in hippocampal microcircuitry, optogenetics, and multiphoton imaging. Education: PhD in Neuroscience, Korea University (2017) MS in Materials Engineering, University of Technology, Troyes (2011) Research Interests: Dr. Geiller investigates how experiences are learned, stored, and utilized by the brain. His lab employs advanced techniques including in vivo imaging, electrophysiology, and molecular tools to study hippocampal function, spatial representation, and memory consolidation. Key themes include inhibitory network dynamics, synaptic plasticity, and the role of specific neuron types in circuit organization. Awards: Whitehall Foundation Award (2023-2025) Alfred P. Sloan Fellowship (2025) Mercer J. McCance Scholar (2024) Peter and Patricia Gruber International Award (2023) NIMH Pathway to Independence Award (2023) Labs & Affiliations: Geiller Lab is located at 100 College Street, Fl 10, Rm 1050, New Haven, CT. The lab is affiliated with the Department of Neuroscience and the Wu Tsai Institute, focusing on interdisciplinary research in neural circuits and systems neuroscience.

Alexandros GelastopoulosView profile

Research Fellow

• Mathematical Modeling
• Probability Theory
• Stochastic Processes
• +4 more

Alexandros Gelastopoulos is a Research Fellow at the Institute for Advanced Studies in Toulouse with a PhD in Mathematics from Boston University (2019). His research employs mathematical modeling to study biological and social systems, focusing on probability theory, stochastic processes, and reinforcement dynamics in social contexts like cumulative advantage and ranking-based behaviors. Primary research interests include analyzing how popularity rankings influence social systems, studying brain oscillations for memory functions, and exploring decision-making paradoxes. His work often bridges mathematical rigor with behavioral sciences to uncover mechanisms driving social inequalities and neural computations. His publication trends show strong emphasis on social dynamics (e.g., lock-in effects, reinforcement processes) and computational neuroscience (e.g., neural rhythms, memory substrates), using stochastic modeling and empirical validation across disciplines. European Commission's Seal of Excellence (2024) Collaborates extensively with international researchers on projects involving mathematical sociology and behavioral experiments. Teaches game theory and mathematical courses while developing expository materials on real analysis and information theory.

John Apergis-SchouteView profile

Senior Lecturer

• Cognition
• Neural Circuits
• Appetite Regulation
• +4 more

Dr. John Apergis-Schoute is a Senior Lecturer in Psychology at Queen Mary University of London, affiliated with the School of Biological and Behavioural Sciences and the Centre for Brain and Behaviour. His research focuses on understanding how cognition and motivation are shaped by evolutionary demands for resource acquisition, particularly through studying rodent models of foraging behavior. He investigates neural circuits underlying spatial memory, appetitive memory, fear memory, and motor memory, using advanced optogenetic and recording techniques in transgenic rodents. Research Interests: His work explores the interplay between memory systems and decision-making, emphasizing how neural circuits mediate foraging behaviors. Key areas include dopamine signaling in motor control, hypothalamic regulation of protein appetite, and cholinergic influences on learning and motivation. Publications: His recent work (2021–2025) highlights discoveries about protein restriction effects on rodent behavior, roles of A13 dopaminergic neurons in fine motor movements, and orexin-histamine neuronal interactions. Earlier contributions include studies on fear extinction circuits and cholinergic modulation of amygdala function. Labs/Teams: He is part of the Centre for Brain and Behaviour, collaborating on projects integrating behavioral neuroscience with molecular and systems-level approaches. His lab employs cutting-edge tools for neural circuit interrogation in vivo.

Edward G. FreedmanView profile

Professor

• Neuroscience
• Cognitive Control
• Sensory Processing
• +6 more

Edward G. Freedman, Ph.D., is a Professor in the Departments of Neuroscience and Biomedical Engineering at the University of Rochester School of Medicine and Dentistry (SMD). He co-leads the Frederick J. and Marion A. Schindler Cognitive Neurophysiology Lab (CNL-R), focusing on understanding neural mechanisms underlying sensory processing, cognitive control, and motor behavior across the lifespan. His work integrates advanced neuroimaging (EEG, fMRI), motion capture (MoBI), and clinical collaborations to study autism, Alzheimer’s, Parkinson’s, lysosomal storage disorders (e.g., Batten disease), and HIV-cocaine comorbidity. Education: Ph.D. in Neuroscience (University of Pennsylvania, 1996), MS in Neurobiology (Cornell University, 1992), BS in Biology (Brown University, 1986). Research Interests: Investigates sensory and cognitive processing deficits in neurodevelopmental and neurodegenerative disorders. Key projects include: Autism: Sensory processing atypicalities, somatosensation, and EEG biomarkers. Aging: Cognitive-motor interactions and neural plasticity using Mobile Brain/Body Imaging (MoBI). Lysosomal Storage Disorders: Multisensory deficits in Batten disease and Rett syndrome. Adolescent Brain Cognitive Development (ABCD Study): Longitudinal brain-behavior relationships in 10,000+ children. Scientific Awards: NSF CAREER Award (2002), Alfred P. Sloan Fellowship (2001), Donald B. Lindsley Prize (1997). Advising and Grants: Mentors graduate students and postdocs in translational neurophysiology. Collaborates with institutions like the University of Rochester Batten Center and the Schmitt Program on Integrative Neuroscience. Labs/Teams: Leads the CNL-R, part of the UR Center for Advanced Brain Imaging (UR CABIN). Active in interdisciplinary networks including the Adolescent Brain Cognitive Development (ABCD) Consortium.