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Polina GollandView profile

Professor

• Biomedical Image Analysis
• Medical Vision
• AI & Machine Learning
• +8 more

Polina Golland is a Professor in the Department of Electrical Engineering and Computer Science (EECS) at MIT and a Principal Investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL). Her research focuses on developing novel techniques for biomedical image analysis and understanding, particularly in medical vision, AI/ML, and health care applications. She leads the Medical Vision Group and collaborates with the Vision Group at CSAIL. Her work emphasizes statistical modeling of medical images, shape modeling, and predictive analytics for biological processes. Current projects include fetal MRI analysis, cardiac MRI segmentation, and quantitative assessment of pulmonary edema in chest X-rays. She has secured grants from NIH, MIT-IBM Watson AI Lab, and other institutions to support her research. Dr. Golland teaches courses on inference, probability, and probabilistic systems. She advises graduate students in MIT's EECS program and has mentored numerous postdocs and researchers. Her lab focuses on translating advanced imaging techniques into clinical workflows, with applications in neuroimaging, fetal health monitoring, and cardiovascular disease analysis. Notable collaborations include work with Harvard Medical School affiliates, Brigham and Women's Hospital, and the MIT Jameel Clinic. Her research aims to bridge computational methods with clinical needs, improving diagnostic tools and treatment planning through machine learning and medical imaging innovation.

Alexandra HorowitzView profile

Adjunct Associate Professor

• Dog Cognition
• Canine Behavior
• Olfactory Experience
• +3 more

Alexandra Horowitz is a Senior Research Fellow and Adjunct Associate Professor at Barnard College. She has been teaching since 2004, specializing in dog cognition and olfactory research. Her academic roles span the Departments of English and Psychology, reflecting her interdisciplinary focus on animal behavior and human-animal interactions. Education: M.S. and Ph.D. in Cognitive Science from UC San Diego; B.A. in Philosophy from the University of Pennsylvania. Research interests include naturalistic observations of dog social play, testing anthropomorphic assumptions, and characterizing canine olfactory abilities. She has authored influential books like Inside of a Dog and Being a Dog , exploring how dogs perceive the world. Her work frequently appears in top journals and media outlets, including the New York Times and TED-Ed. Recent articles highlight studies on dog navigation, play behavior, and olfactory perception. She has been recognized as among the Top 2% of Cited Authors globally. Her presentations and lectures span academic conferences, museums, and public forums, emphasizing science communication.

Joseph KableView profile

Professor

• Behavioral Neuroscience
• Cognitive Neuroscience
• Decision Processes
• +3 more

Joseph Kable is the Jean-Marie Kneeley President's Distinguished Professor of Psychology at the University of Pennsylvania's Department of Psychology within the School of Arts and Sciences. His research integrates experimental economics, cognitive neuroscience, and personality psychology to investigate the neural and psychological mechanisms underlying decision-making. He explores how subjective value is represented in the brain, deviations from rational choice theory, and individual differences in decision processes. His lab employs fMRI and interdisciplinary methods to study topics like risk tolerance, impulsivity, and neural plasticity. Education: BS in Chemistry from Emory University (undergraduate), PhD in Neuroscience from the University of Pennsylvania (doctoral). Research focuses on behavioral and cognitive neuroscience mechanisms of choice, including studies on temporal predictions, value signals, and brain structure-function relationships. His recent work examines how neural markers correlate with decision-making variability across individuals. He currently advises graduate students in Psychology and has post-doctoral researchers in his lab. Associated with MindCORE, Penn's hub for integrative mind research. Lab activities include undergraduate research programs and active studies exploring decision neuroscience and neuroeconomics.

Tülay AdaliView profile

Professor

• Statistical Signal Processing
• Machine Learning
• Medical Image Analysis
• +3 more

Tülay Adali is a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). She has held this position since 1992 and was named a Distinguished University Professor in 2015 for her contributions to statistical signal processing and machine learning. Currently serving as Editor-in-Chief of the IEEE Signal Processing Magazine, she has also held leadership roles in IEEE committees and conferences. Her research focuses on statistical signal processing, machine learning, and their applications in medical imaging and data fusion. Dr. Adali earned her Ph.D. in Electrical Engineering from North Carolina State University in 1992. Her work integrates foundational signal processing techniques with biomedical applications, addressing challenges in neuroimaging analysis. She leads the Machine Learning for Signal Processing laboratory, supported by grants from NSF and NIH. Her lab develops algorithms for analyzing complex signals in medical contexts, emphasizing reproducibility and interdisciplinary collaboration. Recognition includes IEEE Fellow, AIMBE Fellow, AAIA Fellow, Humboldt Research Award, and NSF CAREER Award. She has authored numerous papers on fMRI analysis, independent component analysis, and multimodal data fusion. Her editorial leadership and service to technical communities reflect her commitment to advancing signal processing and education. Education: Ph.D. in Electrical Engineering, North Carolina State University (1992) Grants: NSF, NIH-funded projects on medical imaging and signal processing Awards: SPS Meritorious Service Award, SPIE Pioneer Award

Rebecca LawsonView profile

Professor

• Computational Neuroscience
• Neuroscience
• Psychiatry
• +6 more

Professor Rebecca Lawson is a Professor of Neuroscience and Computational Psychiatry at the University of Cambridge, affiliated with the Department of Psychology and Bye-Fellow at Peterhouse College. Her research focuses on understanding how humans learn to make predictions under uncertainty, with applications to mental health conditions such as anxiety and depression. She leads the Prediction and Learning (PaL) Lab, which combines computational modeling, neuroimaging (e.g., 7T MRI), and behavioral experiments to study cognitive processes in typical and atypical populations. Key research interests include computational psychiatry, autism spectrum disorders, neuroimaging techniques, and the neurochemical basis of learning mechanisms. She has received significant funding, including a £4.3m Wellcome Mental Health Award and the Sir Henry Dale Fellowship. Notable contributions include advancing theories of neural gain and sensory expectations in autism, as well as studies on uncertainty processing in anxiety and depression. Professor Lawson holds academic awards such as the BNPA Lishmann Prize and the BAP Psychopharmacology Award. She actively contributes to public engagement, including initiatives like Knit-a-Neuron and involvement with PrideinSTEM. Her lab collaborates internationally, with projects like the CamRAA study investigating autism-anxiety overlaps and the Chemical and Brain Basis of Uncertainty (CBBU) study exploring pharmacological interventions. Education: PhD in Cognitive Neuroscience (University of Cambridge), BA (Hons) Psychology & Philosophy (University of Glasgow). Grants: £4.3m Wellcome Award, Parke-Davis Fellowship, Lister Institute Prize. Labs/Teams: Principal Investigator of the PaL Lab; collaborations with MRC Cognition and Brain Sciences Unit, Yale University, and Brown University.

• Strategy
• Management
• Organisational Behaviour
• +10 more

Sam Yam is a Professor and Head of the Management & Organisation Department at the National University of Singapore's (NUS) Business School. He holds the Jardine Cycle & Carriage Professorship and serves as Associate Dean. His research spans strategy, organisational behaviour, applied psychology, ethics, and human-technology interaction. Yam has contributed to over 125 publications, focusing on AI ethics, workplace dynamics, and cross-cultural management. He explores topics like robot replacement effects, abusive supervision, and financial anxiety's intergenerational impacts. His work bridges psychology, ethics, and organisational theory, addressing contemporary challenges in automation, leadership, and human-AI collaboration. Appointments: Head of Management & Organisation (2022–present), Joint Appointment in Arts & Social Sciences (2023–present). Key Research Themes: Future of work, human-technology interaction, ethical leadership, and Machiavellian dynamics. Notable Contributions: Multimodal ADHD diagnostics, leader biases toward robot-using employees, and cultural impacts on team performance. Yam’s interdisciplinary approach integrates psychology, technology, and management, addressing societal issues like AI ethics and workplace automation. His research frequently appears in top journals like the Journal of Management and Annual Review of Organizational Psychology .

Christopher Thomas SegeView profile

Assistant Professor

• Anxiety Disorders
• Neurophysiology
• Emotional Processing
• +4 more

Christopher Thomas Sege, PhD is an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC) College of Medicine. His research focuses on the neurophysiological mechanisms underlying anxiety disorders, particularly examining escape, avoidance, and approach behaviors in the anxiety disorder spectrum. Dr. Sege's primary research interests include: Anxiety Disorders and Emotional Processing Defensive Behaviors and Coping Mechanisms Neurophysiological Correlates of Emotional Anticipation Startle Response and Autonomic Nervous System Functioning Transcranial Magnetic Stimulation (rTMS) Applications His work bridges clinical psychology with neuroscience to understand how individuals with anxiety disorders process and respond to emotional stimuli. Dr. Sege leads the research study "Modeling and Modulating Mechanisms of Escape, Avoidance, and Approach in the Anxiety Disorder Spectrum" which investigates whether repetitive transcranial magnetic stimulation (rTMS) can alter how people with anxiety cope with emotional situations. This study involves measuring brain activation while participants view emotional pictures and undergo rTMS procedures. His publication record demonstrates expertise across multiple domains: Neurophysiological mechanisms of defensive behaviors Emotional anticipation and perception Startle modulation in anxiety disorders Borderline personality disorder research Development of experimental paradigms for emotional processing studies His research employs multiple methodologies including psychophysiology, event-related potentials, and neurostimulation techniques. Dr. Sege collaborates with researchers including Lisa McTeague, Bernadette Cortese, Carla Danielson, Thomas Uhde, and Aicko Schumann. His work appears in journals such as Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Biological Psychology, and Psychophysiology.

• Anatomy
• Morphology
• Vascular Anatomy
• +4 more

Prof. Dr. Kenan Aycan is a Professor of Anatomy at Ahi Evran University's Faculty of Medicine, Department of Basic Medical Sciences, where he has served since 2019. He also holds the position of Department Head since 2020. Previously, he worked at Erciyes University as a School Director from 2011-2016. His academic career spans over four decades with significant contributions to anatomical sciences. Dr. Aycan earned his PhD in Basic Medical Sciences from Ege University's Faculty of Medicine (1983-1986) following his Bachelor's degree in Science from Ege University's Faculty of Science (1970-1975). He also holds a Certificate of Use of Experimental Animals from Erciyes University (2008). His research focuses on anatomical morphology, vascular structures, and developmental processes. Dr. Aycan has pioneered anatomical techniques including the 'Aycan's method' for corrosion preparations. His work spans comparative anatomy across various species, morphometric analyses of anatomical structures, and investigations into teratogenic effects and protective agents. He has extensively studied the foramen magnum using golden ratio principles, vascular anatomy of reproductive organs in ruminants, and auditory ossicles in sheep. Analysis of his recent publications (2021-2025) reveals consistent focus on anatomical methodology development, morphometric studies of key anatomical structures, vascular anatomy investigations, and research on developmental processes and teratology. His work often employs plastic injection and corrosion techniques, CT imaging, and comparative approaches across human and animal models. Dr. Aycan has mentored numerous graduate students, serving as primary advisor for over 20 Master's and PhD theses covering diverse anatomical topics from vascular variations to developmental studies. His collaborative network includes researchers like Tufan Ulcay, Burcu Kamaşak, and others across Turkish institutions.

Tae-Ho LeeView profile

Associate Professor

• Affective Neuroscience
• Cognitive Development
• Neuroimaging
• +7 more

Tae-Ho Lee is an Associate Professor in the Department of Psychology at Virginia Tech, with affiliated appointments in the School of Neuroscience and Translational Biology, Medicine, and Health. His research focuses on affective and cognitive neural development across the lifespan, neurodegeneration, and family-based neural dynamics. PhD in Brain and Cognitive Science, University of Southern California M.A. in Clinical Psychology, Korea University B.A. in Psychology, Korea University Dr. Lee’s work explores brain connectome dynamics, dyadic neural concordance in families, and age-related attentional control. He employs neuroimaging techniques to study how familial and environmental factors shape emotional and cognitive outcomes in adolescents and older adults. Recent publications highlight trends in longitudinal studies , parent-child neural similarity , and functional connectivity in emotion regulation . Key areas include autism spectrum disorder, substance misuse risk, and the role of socioeconomic factors in brain development. Rising Star , Association for Psychological Science (2020) Dr. Lee is not currently accepting students and leads the Affective Neurodynamics and Development (AND) Lab at Virginia Tech.

• Brain Plasticity
• Motor Learning
• Neurorehabilitation
• +5 more

Dr. Cassandra Sampaio Baptista is a Lecturer at the University of Glasgow's School of Psychology & Neuroscience. Her research focuses on brain plasticity in adulthood, particularly exploring how experiences like skill learning or rehabilitation influence structural and functional changes in the brain. She employs neuroimaging techniques such as fMRI neurofeedback and MRI to investigate mechanisms of myelin and white matter plasticity. Her work emphasizes translational applications, including stroke rehabilitation and promoting healthy aging. Key contributions include demonstrating myelin's role in motor learning and developing MRI protocols for white matter analysis. She collaborates on projects funded by the BIAL Foundation (2025–2026) and has supervised multiple postgraduate students. Recent publications highlight studies on oligodendrocyte dynamics, neurofeedback interventions for stroke survivors, and cross-species neuroscience approaches. While no specific awards are listed, her extensive publication record reflects her leadership in neuroplasticity research.

Tobias HauserView profile

Professor

• Developmental Computational Psychiatry
• Neurocognitive Development
• Decision-Making Mechanisms
• +3 more

Dr. Tobias Hauser is a Professor of Computational Psychiatry at the University of Tübingen, Germany, and a Group Leader at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research. His research spans clinical neuroscience, developmental psychiatry, and computational modeling, focusing on the neurocognitive mechanisms underlying psychiatric disorders like OCD and ADHD. MSc in Psychology (2010), University of Zurich PhD in Psychology (2014), University of Zurich Hauser's work employs a translational approach, integrating clinical, pharmacological, and basic neuroscience to characterize neural network deficiencies in mental health. His developmental perspective investigates how psychiatric symptoms emerge through deviations from canonical brain development trajectories. Recent publications highlight his focus on dopaminergic midbrain activity, frontostriatal myelination, and computational mechanisms of decision-making. These studies utilize techniques like fMRI, EEG, and computational modeling to explore compulsivity, impulsivity, and developmental neurocognitive processes. Sir Henry Dale Fellowship (Wellcome Trust & Royal Society) Research Fellowship (Jacobs Foundation) Kramer-Pollnow Award for ADHD research Hauser leads the Developmental Computational Psychiatry Group and co-founded the Brain Explorer app, a citizen science project investigating brain development and mental health. He actively seeks PostDocs and PhD students for collaborative research in computational psychiatry and cognitive neuroscience.

• Cognitive Neuroscience
• Clinical Psychology
• Decision-Making Processes
• +3 more

Andrea Reiter is a Professor at the Universitätsklinikum Würzburg, holding the W1-Professur für Lernprozesse in der Entwicklungspsychiatrie, Psychotherapie und Prävention. Her research focuses on decision-making processes in clinical populations, lifespan changes, and the impact of stress/social influences. She employs computational modeling combined with fMRI and EEG. Education: Dr. rer. nat. (summa cum laude, 2016) from University of Leipzig, Master of Advanced Studies in Cognitive Behavioral Therapy (University of Bern), and Diploma in Psychology from Julius-Maximilians-Universität Würzburg (2012). She also studied Literature and Educational Sciences alongside Psychology. Professional Experience includes a research position at TU Dresden (since 2015), guest research at Max Planck Institute for Human Cognitive and Brain Sciences (since 2015), and PhD work at IMPRS NeuroCom (2012-2015). She has clinical experience as a Psychologist at Kreiskrankenhaus Tauberbischofsheim. Research Awards: Austrian Academy Grant (2016), Poster Award (2014), DZ Banken Career Prize (2013), and IMPRS PhD stipend (2012-2015). Her publications (2013-2016) emphasize neuroimaging studies on decision-making deficits in disorders like binge eating and alcohol dependence, with methodological strengths in computational modeling and EEG/fMRI integration.

J. Anthony MovshonView profile

Professor

• Neuroscience
• Visual Neuroscience
• Cognitive Neuroscience
• +3 more

J. Anthony Movshon is a Professor at New York University (NYU) in the Department of Psychology and a key member of NYU's Center for Neural Science (CNS). His research focuses on the primate visual system, particularly the encoding and decoding of visual information in cortical areas like V1 and MT, and its role in behavior and perception. Education: Doctorate in Visual Neurophysiology and Psychophysics from Cambridge University Research Interests: Movshon investigates the functional architecture of the visual cortex, emphasizing motion, form, and color processing. His work explores how neural activity relates to perceptual decisions and motor behavior, using electrophysiological recordings, neuroimaging, and computational models. He also studies developmental disorders like amblyopia and their impact on visual system organization. Publications: His recent work spans visual texture selectivity in V2, contextual modulation in neural responses, motion processing in MT, and decoding mechanisms in visual cortex. These studies employ interdisciplinary approaches blending neurophysiology, computational neuroscience, and cognitive modeling. Labs & Collaborations: Movshon leads the Visual Neuroscience Laboratory at NYU, collaborating with researchers such as Michael Hawken, Lynne Kiorpes, and Eero Simoncelli.

Takako FujiokaView profile

Associate Professor

• Auditory Perception
• Neural Oscillations
• Auditory-Motor Coupling
• +5 more

Takako Fujioka is an Associate Professor of Music at Stanford University, affiliated with the Center for Computer Research in Music and Acoustics (CCRMA). Her research focuses on the neural mechanisms underlying auditory perception, auditory-motor coupling, and music-supported therapy for neurorehabilitation. She holds a Ph.D. in Physiology from the Graduate University for Advanced Studies, Japan, and M.Sc./B.Eng. degrees in Electrical Engineering from Waseda University. Her work combines neurophysiological techniques such as MEG and EEG to study brain plasticity in development, aging, and stroke recovery. Notable contributions include investigating how music influences motor and cognitive recovery in stroke patients, as well as exploring the neural basis of musical perception through rhythmic synchronization and pitch discrimination studies. Supported by awards from the Canadian Institutes of Health Research during her postdoctoral work at the Rotman Research Institute, her research bridges clinical neuroscience and music cognition. Dr. Fujioka’s expertise spans auditory neuroscience, neurorehabilitation, and technology-assisted music therapy. She has pioneered studies on tactile mapping for cochlear implant users and networked music performance systems, emphasizing cross-modal perception and human-technology interaction. Her findings contribute to both theoretical understanding of auditory processing and practical applications in medical and educational settings. Awards: Canadian Institutes of Health Research Awards (postdoctoral phase) Labs/Teams: CCRMA, Stanford Music Perception Laboratory, Rotman Research Institute collaborations Key Themes: Neuroplasticity, Music-Mediated Rehabilitation, Auditory-Motor Integration, Multisensory Processing Her recent work examines aging-related changes in binaural hearing and the role of beta/gamma oscillations in rhythmic processing. She advocates for translational research that connects neural mechanisms with real-world therapeutic interventions.

Martha Ann BellView profile

Professor

• Developmental Cognitive Neuroscience
• Developmental Psychophysiology
• Executive Function
• +4 more

Martha Ann Bell is a University Distinguished Professor of Psychology and College of Science Faculty Fellow at Virginia Tech. She leads the Cognition, Affect, and Psychophysiology (CAP) Lab, focusing on developmental cognitive neuroscience and the integration of emotion and cognition in early development. Her work examines EEG/ECG biomarkers, executive function, temperament, and maternal-child interactions. Dr. Bell holds a PhD in Human Development from the University of Maryland (1992), an MS in Child and Family Studies from the University of Tennessee (1983), and a BS in Home Economics from Carson-Newman College (1978). She has held progressive roles from Assistant Professor (1996) to her current distinguished title. Her research interests include developmental changes in brain-behavior relations, neurophysiological correlates of emotion regulation, and longitudinal predictors of child development. Recent work explores maternal emotion coaching, EEG neuromarkers of ADHD, and the neurodevelopmental impacts of nutrition. Key awards include the Virginia Tech University Distinguished Professorship (2021) and College of Science Faculty Fellowship (2019–2025). Her publications span developmental psychobiology, neuroimaging methods, and temperament-behavior links. Dr. Bell’s advising and grants focus on interdisciplinary developmental science. The CAP Lab collaborates on projects involving infant neuroimaging, maternal-child physiology, and early childhood interventions.