جست‌وجوی استاد و پژوهشگر

David Stillwellمشاهده پروفایل

استاد

• Psychometrics
• Computational Social Science
• Big Data Analytics
• +۳ مورد دیگر

David Stillwell serves as Professor of Computational Social Science at Cambridge Judge Business School and Academic Director of The Psychometrics Centre, University of Cambridge. His research leverages big data to understand human psychology and behavior, with significant contributions in personality prediction from digital footprints and personalized advertising applications. His educational background includes: BSc in Psychology from the University of Nottingham (2007) MSc in Research Methods from the University of Nottingham (2008) PhD in Decision Making from the University of Nottingham (2012) Dr. Stillwell's research centers on computational social science and psychometrics, pioneering the myPersonality Facebook application that collected data from over 6 million users. His work demonstrates computers can predict personality as accurately as spouses, reveals psychological targeting's advertising effectiveness, and establishes links between personality-matched spending and life satisfaction. He also explores linguistic honesty markers through profanity analysis and personality-based dating patterns. His recent publications (2019-2025) reveal a strong trajectory toward AI evaluation using psychometric frameworks, particularly in medical and general-purpose AI assessment. Key themes include fairness metrics in language models, crisis emotional responses through social media, and computational personality recognition - demonstrating consistent innovation at the psychology-technology intersection. He has received significant recognition: Top 10 most influential papers of 2013 by Altmetric Nieman Journalism Lab highlight of 2013 Named in 'top 30 thinkers under 30' by Pacific Standard Magazine Dr. Stillwell maintains active industry engagement through consultancy with Barclays, Hilton, and Ubisoft on projects spanning computer-adaptive testing systems to interactive experiences like Predictive World for Watch Dogs 2. His policy impact is substantial, with citations by the European Data Protection Supervisor, World Bank, and multiple national governments, leading to speaking engagements at the European Parliament and Bank of England. As Academic Director of The Psychometrics Centre, he leads a global hub for advancing psychological assessment through innovative methods including Concerto open-source software, collaborating with organizations ranging from the European Commission to major corporations on psychometric applications in people analytics and digital behavior.

Joe Kableمشاهده پروفایل

دانشیار

• Decision Making
• Neuroeconomics
• Cognitive Neuroscience
• +۲ مورد دیگر

Joe Kable, PhD, serves as the Baird Term Associate Professor of Psychology at the University of Pennsylvania, where his research investigates the neurophysiological basis of human decision-making through integrative approaches from experimental economics, cognitive neuroscience, and judgment psychology. His laboratory specializes in fMRI studies examining how subjective value representations guide choices involving immediate versus delayed rewards. Education: B.S. in Chemistry, Emory University PhD in Neuroscience, University of Pennsylvania Dr. Kable's research program centers on neural mechanisms of temporal discounting, risk assessment, and individual differences in choice behavior. His work demonstrates how socioeconomic status, aging, and clinical conditions modulate decision processes, with particular emphasis on hippocampal-prefrontal interactions during value computation. Recent studies reveal how time perception alterations affect neural activity in reward circuits and how social factors influence trust decisions across the lifespan. Analysis of his 15 most recent publications shows a strong methodological focus on fMRI and lesion studies, with growing clinical translation in depression, addiction, and dementia. Key thematic trends include the neural encoding of effort costs in social contexts, structural brain markers for impulsivity, and the dissociable roles of frontal subregions in persistence behaviors. His work consistently bridges basic decision neuroscience with real-world applications in mental health. Scientific Awards: No scientific awards mentioned in source material Dr. Kable leads an active research laboratory at Penn but the source text provides no details about graduate student advising or specific grant funding. His publications indicate collaboration with clinical researchers at the Penn Memory Center, particularly in aging-related decision studies. The laboratory employs multimodal neuroimaging techniques including resting-state fMRI, TMS, and lesion mapping to investigate decision circuits, with recent work extending to computational modeling of value representation and social cognition mechanisms.

Caroline Bassettمشاهده پروفایل

استاد

• Digital Humanities
• Critical Theories of Technology
• Media Archaeology
• +۷ مورد دیگر

Caroline Bassett is a Professor of Digital Humanities at the University of Cambridge, affiliated with the Faculty of English and serving as Director of Cambridge Digital Humanities (CDH). Her work bridges computational technologies, cultural forms, critical theories of technology, and media arts, with a focus on science fiction, automation anxiety, AI, and feminist digital studies. She has held visiting fellowships at institutions such as the Helsinki Collegium for Advanced Studies and co-founded the Sussex Humanities Lab at the University of Sussex. Education: BA (University of London), MA and PhD (University of Sussex). Her research interests center on the intersection of digital media, critical theory, and epistemic cultures. Key areas include AI’s impact on knowledge production, media archaeology, feminist critiques of technology, and the sociopolitical implications of automation. She explores these themes through theoretical frameworks, science fiction, and historical analyses of digital systems. Caroline’s publications span digital humanities, feminist theory, and media archaeology. Recent works examine computational therapeutics, postdigital aesthetics, and the ethics of everyday digital practices. Her book Anti-Computing (2021) highlights resistance to computerized culture, while Furious (2019) interrogates feminist digital futures. At Cambridge, Bassett leads interdisciplinary research through CDH and serves as a Professorial Fellow. She advises graduate students on topics like algorithmic justice, media archaeology, and digital media arts, and her work engages with technocultural transformation and the politics of AI.

Hideko Hamada Bassettمشاهده پروفایل

استادیار

• Social & Emotional Development
• Emotion Socialization
• School Readiness
• +۳ مورد دیگر

Dr. Hideko Hamada Bassett is an Assistant Professor at the School of Integrative Studies, George Mason University, specializing in child development, socialization, and interdisciplinary studies. Her research focuses on social-emotional development, emotion socialization, and school readiness in early childhood education. Education: Ph.D. in Applied Developmental Psychology, George Mason University M.S. in General Psychology, University of Memphis B.A. in English, Kansai Gaidai University Her research emphasizes the interplay between executive functioning, emotional competence, and classroom behavior, with a particular interest in cross-cultural comparisons and teacher-child interactions. Recent publications explore themes such as emotion knowledge, self-regulation, and social information processing in preschoolers. Dr. Bassett’s work includes the development of assessment tools like the BRACE Coding System and the Preschool Self-Regulation Assessment, aiming to improve social-emotional learning frameworks. She has contributed to studies examining gender differences, socioeconomic risk factors, and the role of maternal emotion teaching in shaping preschoolers' developmental outcomes. Contact: hhamada@gmu.edu | Office: Enterprise Hall

Han Joo Leeمشاهده پروفایل

استاد

• Anxiety Disorders
• Psychopathology
• Clinical Psychology
• +۳ مورد دیگر

Han Joo Lee is a Professor and Director of Graduate Studies in the Department of Psychology at the University of Wisconsin-Milwaukee (UWM). He holds appointments in both the College of Letters & Science and the Clinical Psychology program. Lee earned his Ph.D. from the University of Texas at Austin in 2009. His research focuses on adult psychopathology, particularly anxiety disorders (e.g., OCD, social anxiety, PTSD), cognitive-perceptual processing abnormalities, and web-based psychological interventions. He has developed online assessment systems for anxiety disorders and conducted experimental studies on attentional biases and error-monitoring processes in clinical populations. Key research themes include: (1) maladaptive cognitive-perceptual mechanisms underlying anxiety disorders, (2) digital tools for mental health assessment, and (3) behavioral interventions targeting compulsive behaviors. His work integrates experimental, clinical, and neuroscientific approaches to understand symptom maintenance and treatment development. Lee's recent studies explore functional connectivity in skin-picking disorders, predictive factors for OCD treatment outcomes, and dual-hormone stress reactivity in PTSD. He collaborates with institutions like the UWM Psychology Clinic and maintains active grant-funded research projects. No specific awards are listed, but his extensive publication record reflects sustained contributions to clinical psychology. He advises the graduate program at UWM, overseeing training for clinical psychology doctoral students. His lab develops innovative interventions, including computerized response inhibition training for trichotillomania and interpretation-based treatments for thought-action fusion.

Andrew Lanمشاهده پروفایل

دانشیار

• Artificial Intelligence in Education
• Educational Data Mining
• Personalized Learning
• +۵ مورد دیگر

Andrew Lan is an Associate Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst, where he also serves as the CS Undergraduate Program Director. He was granted tenure by the UMass Board of Trustees in June 2025 and is currently on leave through Spring 2026. His research focuses on developing human-in-the-loop machine learning methods to enable scalable, effective, and personalized learning experiences in education. Dr. Lan received his BS in Physics and Mathematics from the Hong Kong University of Science and Technology, followed by his MS (2014) and PhD (2016) in Electrical and Computer Engineering from Rice University. He completed postdoctoral research at Rice University (2016) and Princeton University's EDGE Lab (2017-2018). His research spans artificial intelligence for education, with particular expertise in educational data mining, knowledge tracing, personalized learning systems, and human-AI collaboration in educational contexts. Dr. Lan's work leverages massive and multimodal learner and content data collected from both traditional classrooms and online learning platforms to develop systems that deliver high-quality, affordable, and personalized learning experiences. He has made significant contributions to areas including computerized adaptive testing, math word problem generation, student affect detection, and automated grading systems. His recent work increasingly focuses on leveraging large language models for educational applications while maintaining rigorous scientific validation of these approaches. Best Student Paper Award at the 2024 AIED Conference (with Alexander Scarlatos) Best Paper Nominee at LAK 2021 Best Student Paper Award at IEEE Big Data 2020 NAEP Math Automated Scoring Challenge Grand Prize Winner Dr. Lan actively mentors graduate students and postdoctoral researchers, with several of his advisees receiving recognition for their work. He has secured substantial funding from the National Science Foundation, including a $90M grant for the SafeInsights project, a secure cyberinfrastructure for educational research. His research group collaborates with institutions including Worcester Polytechnic Institute, University of Pennsylvania, and Rice University. He teaches undergraduate and graduate courses including COMPSCI 240 (Reasoning under Uncertainty) and COMPSCI 590OP (Applied Numerical Optimization), with a focus on the practical application of theoretical concepts in machine learning and artificial intelligence. His educational philosophy emphasizes bridging the gap between theoretical foundations and real-world implementation in educational technology.

Estara Arrantمشاهده پروفایل

پژوهشگر ارشد

• Semitic Linguistics
• Medieval Jewish Studies
• Medieval Islamic Studies
• +۱۲ مورد دیگر

Dr Estara Arrant is a Cambridge University Library Leverhulme Early Career Research Fellow and Trinity Hall Postdoctoral Research Associate. She merges Semitic linguistics with data science to study medieval Jewish and Islamic textual cultures. PhD (University of Cambridge, 2021): Computational analysis of Cairo Genizah Torah codices MPhil (University of Oxford, 2018): Linguistic structure of Qur’ānic creation narratives BA: History & Modern Hebrew Her groundbreaking work combines machine learning and bioinformatics algorithms to analyze textual evolution. Current projects include: Developing the first NLP model for medieval Judaeo-Arabic Creating digital tools for computerized stemmatology She actively teaches Python and R as an Cambridge Digital Humanities associate, and her research has been published by Open Book Publishers and Brill .

Jesse Cougleمشاهده پروفایل

استاد

• Anxiety Disorders
• Obsessive-Compulsive and Related Disorders
• Problematic Anger
• +۷ مورد دیگر

Jesse Cougle is a Professor of Psychology at Florida State University, focusing on anxiety disorders , obsessive-compulsive and related disorders (OCRD), and problematic anger . He leads the Cougle Lab, which develops computerized treatments and investigates distress intolerance , courage , and transdiagnostic factors . Education: University of Texas at Austin (2008), Oxford University (postgraduate) Research: Cognitive-behavioral mechanisms in anxiety disorders, technology-based interventions for social anxiety and BDD, and biological processes in problematic anger Students: Mentoring Tapan Patel, James Zech, Victoria Swaine, and others His work spans interpretation bias modification , safety behavior reduction , and 'not just right' experiences in OCRD. Recent publications emphasize digital interventions for mental health and distress tolerance as a key transdiagnostic factor. Scientific Awards: President’s New Researcher Award (ABCT) Graduate Faculty Mentor Award (FSU) He serves as Editor-in-Chief of the Journal of Obsessive-Compulsive and Related Disorders and holds editorial roles in major journals. The Cougle Lab explores anxiety , perfectionism , and appearance-related psychopathology through multimodal research .

Julie Beth Schweitzerمشاهده پروفایل

استاد

• ADHD
• Cognitive Neuroscience
• Neuroimaging
• +۷ مورد دیگر

Julie Beth Schweitzer is a Professor in the Department of Psychiatry and Behavioral Sciences at UC Davis Health School of Medicine and a key figure at the MIND Institute. She serves as Director of the CTSC Mentoring Academy for Research Excellence (MARE), Director of the Mentored Clinical Research Training Program (MCRTP), and Co-Director of the CTSC TL1 Program. Her work bridges cognitive neuroscience and clinical psychology, focusing on ADHD across the lifespan and its comorbidities. Education: A.B. from University of Southern California (1982), M.S. (1987) and Ph.D. (1990) in Clinical Psychology from University of Massachusetts Amherst, with internship at University of Minnesota and fellowship at Emory University. Dr. Schweitzer's research explores brain-behavior-environmental relationships in ADHD, utilizing neuroimaging to study self-control development and designing tech-based interventions like virtual reality and computerized games to enhance attention and academic outcomes in ADHD and autism. Her work spans developmental psychology, translational neuroscience, and mental health technology. Recent publications highlight her focus on predicting ADHD symptom trajectories, environmental influences (e.g., phthalate exposure, neighborhood conditions), and behavioral interventions (e.g., fidget devices). Studies also address cognitive functioning in autism-ADHD comorbidity and irritability as a predictive factor. Scientific Awards & Honors Dean's Award for Excellence in Mentoring, UC Davis Health (2024) President Elect, International Society for Child and Adolescent Psychopathology (2027-2029) Selected Fellow, Association for Psychological Science (2018) Sigma Xi Grant in Aid of Research (1989) Predoctoral Traineeship, U.S. Department of Education (1984-1987) Dr. Schweitzer actively trains translational scientists through the UC Davis Clinical and Translational Science Center, emphasizing mentoring excellence. Her leadership roles and research programs underscore her commitment to advancing ADHD and developmental disorder studies, integrating clinical practice, neuroscience, and environmental health.

Gerry Bradyمشاهده پروفایل

استاد بالینی

• Mathematical Logic
• History of Mathematics
• Categorical Logic
• +۳ مورد دیگر

Gerry Brady is a Clinical Professor in the Masters Program in Computer Science at the University of Chicago. He holds a Ph.D. in Mathematical Logic from the University of Oslo (1997), an M.A. in Mathematical Logic from the University of Chicago, and a B.A. in Mathematics with honors from the same institution. His research focuses on the history and foundations of mathematical logic, particularly the contributions of figures like C.S. Peirce and Thoralf Skolem. Notably, his doctoral thesis was expanded into the 2000 book From Peirce to Skolem , published by Elsevier. Brady has authored or co-authored works on categorical logic, relational calculus, and the philosophical underpinnings of symbolic logic. He contributed to pioneering efforts in computerizing academic journal production at the University of Chicago Press in the 1990s. His teaching emphasizes problem-solving skills, which he links to workplace success for MPCS graduates. He currently holds an office in Crerar Library and can be reached at brady@cs.uchicago.edu.

Jürgen Richter-Gebertمشاهده پروفایل

استاد

• Geometry
• Visualization
• Computer Science
• +۷ مورد دیگر

Professor Jürgen Richter-Gebert is a full professor of Geometry and Visualization at the Technical University of Munich (TUM), working within the TUM School of Computation, Information and Technology. Born in 1963, he has been at TUM since 2001, following positions at ETH Zurich (1997-2001) and TU Berlin (1994-1997). His educational background includes studies at TU Darmstadt (1983-1988) and dual PhDs from TU Darmstadt and KTH Stockholm (1991-1992). Richter-Gebert's research spans combinatorial and computer-oriented geometry, with particular expertise in polytope theory and mathematical visualization software. He develops processes for the automatic generation of geometric problem solutions and is actively involved in raising the public profile of mathematics. Richter-Gebert's publications and research focus on the intersection of mathematics and computer science, with particular emphasis on projective geometry, dynamic geometry, polytope theory, and combinatorial geometry. His work demonstrates how mathematical structures can be made accessible through computerized interactive visualizations. His most notable publications include "Perspectives on Projective Geometry" (2011) and "Geometriekalküle" (2009), along with numerous papers on dynamic geometry systems. Ars Legendi Prize for excellent university teaching (2011) Karl Max von Bauernfeind Medal of the TUM (2010) MedidaPrix - media didactic university prize (2008) EASA - European Academic Software Award (2000) Communicator Preis for science communication (2021) As founder and director of the ix-quadrat mathematics exhibition at the Garching Campus, Richter-Gebert has made significant contributions to mathematics education and outreach. He has developed influential mathematical visualization tools including Cinderella, CindyJS, and iOrnament, which have received multiple awards for educational software excellence. His research group focuses on mathematical foundations, authoring systems, and mathematical visualizations with applications in education and public scenarios.

Steve Tanimotoمشاهده پروفایل

استاد

• Novice programming environments
• Collaborative problem-solving environments
• Technology for educational assessment
• +۱۱ مورد دیگر

Steve Tanimoto is a Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, with an adjunct appointment in the Department of Electrical & Computer Engineering. His work focuses on human-centered computing, particularly in educational technology and collaborative problem-solving environments. He has made significant contributions to the understanding of liveness in programming environments and their application to education, including a keynote at the International Conference on Live Coding (2015) that traced historical influences leading to widespread use of liveness in modern software environments. Dr. Tanimoto's research spans several interconnected domains: Novice programming environments and educational technology Collaborative problem-solving environments and tools Technology for educational assessment, particularly using pattern-recognition methods for teaching written language on tablets Liveness in programming environments and its applications Image processing from interdisciplinary perspectives (as detailed in his MIT Press book "An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs") His recent publications demonstrate a consistent focus on the intersection of computing education, human-computer interaction, and collaborative problem-solving. A notable trend is the exploration of "liveness" in programming environments and how this concept can enhance educational experiences. His work increasingly integrates AI technologies with educational applications, particularly in the areas of writing instruction and collaborative problem-solving, with significant NIH funding support (P50 HD071764 and U54 HD083091). His notable recognition includes: VL/HCC Best Showpiece Award in 2015 for "Solving Problems by Drawing Solution Paths" Dr. Tanimoto has advised several graduate students through to completion, including Robert Thompson (2019), Sandra Fan (2013), and Tyler Robison (2012). He currently advises Emilia Gan (co-advised with B. Mako Hill) and Edward Misback. His research has been supported by NIH grants for work on computerized writing and reading instruction for students with learning disabilities. His CoSolve research group has developed experimental facilities for collaborative problem-solving, exploring tools that support problem formulation, visualization of problem spaces, and team collaboration dynamics, with applications in education, design, and various problem-solving domains.

• Child Psychology
• Neurobiology
• Clinical Psychology
• +۳ مورد دیگر

Lyndsey Juliane Chong is a Research Fellow at the Yale Child Study Center, Yale School of Medicine. Her work focuses on neurobiological and environmental risk markers of childhood anxiety, employing methodologies such as eye-tracking, EEG, and behavioral observations. She is mentored by Drs. Wendy Silverman, Eli Lebowitz, and Michael Crowley and holds a T32 Fellowship in Childhood Neuropsychiatric Disorders. Chong earned her Ph.D. in Clinical Psychology from Florida State University (2023), supported by a National Science Foundation (NSF) Graduate Research Fellowship, and completed a clinical psychology internship at the University of Texas Health Science Center at Houston. Education: B.A. in Psychology and Economics, University of Texas at Austin (2015) M.S. and Ph.D. in Clinical Psychology, Florida State University (2019, 2023) Clinical Psychology Internship, UTHealth Houston (2023) Research Interests: Her research integrates neurobiological and environmental factors influencing childhood anxiety, with a focus on neural correlates (e.g., error-related negativity, late positive potential) and parent-child interactions. She develops computerized interventions targeting anxiety-related brain activity in young children. Awards: National Science Foundation (NSF) Graduate Research Fellowship (2019–2021) T32 Fellowship in Childhood Neuropsychiatric Disorders Departmental Graduate Research Development Awards (Florida State University) Grants & Advising: No formal advisees listed. Her work is supported by institutional fellowships and grants. Labs/Teams: Affiliated with the Child Study Center at Yale, collaborating with interdisciplinary teams in developmental psychopathology and clinical neuroscience.

Garvin Brodمشاهده پروفایل

استاد پژوهشی

• Educational Psychology
• Cognitive Development
• Memory and Learning
• +۹ مورد دیگر

Prof. Dr. Garvin Brod is a Research Professor at the DIPF | Leibniz Institute for Research and Information in Education and Goethe University Frankfurt, specializing in individualized learning and cognitive development. He is affiliated with the Department of Educational Psychology within the College of Psychology & Sports Science. His research focuses on technology-supported educational interventions, memory and learning dynamics, and the development of knowledge acquisition processes. Brod leads projects like ACHILLES (learning success diagnostics), PROMPT (digital prompting techniques), and VokSi (vocabulary learning), addressing self-regulated learning, reading education, and cognitive strategies. The 13 most recent publications highlight trends in educational technology, self-regulated learning mechanisms, and cognitive development. Key themes include mobile learning interventions, memory retention strategies, and the role of executive functions in belief revision. Brod’s work bridges experimental psychology with practical EdTech solutions for children’s learning challenges. As a visiting fellow at St John's College, University of Cambridge, and head of DIPF’s departments for Individualized Support and Education and Development, Brod collaborates on data-sharing initiatives like ShaReD. He holds a doctorate from Humboldt University and a diploma in psychology from Saarland University.

Christine Soمشاهده پروفایل

استادیار

• Mechanisms of trauma-related sleep disturbances
• Sleep disturbances as transdiagnostic risk factors for psychopathology
• Neurobiology of sleep
• +۵ مورد دیگر

Dr. Christine So is an Assistant Professor of Psychology at Washington State University, where she leads the Laboratory for Understanding Nocturnal behaviors and Affect (LUNA). Her research focuses on the intersection of sleep, trauma, and psychopathology, investigating how sleep disturbances serve as both causes and consequences of mental health disorders through multimodal research approaches. Dr. So's educational background includes: Ph.D. in Clinical Psychology from the University of Houston (2022) Pre-doctoral clinical internship at the University of Pittsburgh Medical Center Western Psychiatric Hospital MIRECC postdoctoral fellowship in trauma-related sleep disturbances at the Corporal Michael J. Crescenz VA Medical Center Her primary research interests examine mechanisms of trauma-related sleep disturbances, particularly nightmares, and how sleep problems function as transdiagnostic risk factors for health issues. Dr. So employs ecological momentary assessment, polysomnography, actigraphy, and computerized tasks to investigate cognitive and affective processes underlying sleep disruptions. Additional research areas include sleep health disparities, environmental influences on sleep, and personalized behavioral sleep medicine interventions targeting Alzheimer's risk biomarkers. Dr. So's publication record demonstrates consistent growth in sleep and trauma research, with recent work examining neighborhood effects on sleep in trauma-exposed populations, bidirectional sleep-pain relationships among Veterans, and sleep health disparities. Her research bridges clinical psychology, sleep medicine, and public health with particular attention to vulnerable populations including trauma survivors and Veterans. Dr. So has been recognized through a MIRECC postdoctoral fellowship supporting her specialized training. Her work appears in leading journals including Psychological Trauma: Theory, Research, Practice, and Policy , Sleep Health , and International Journal of Psychophysiology . As a licensed clinical psychologist in Washington state, Dr. So mentors graduate students in WSU's Clinical Psychology PhD program, with recruitment for Fall 2025 and 2026 cohorts underway. She maintains active collaborations with researchers at the University of Pittsburgh, University of Houston, and VA medical centers, particularly with Drs. Phil Gehrman and Katherine Miller. Her laboratory provides training opportunities for students interested in the intersection of sleep, trauma, and health. The Laboratory for Understanding Nocturnal behaviors and Affect (LUNA) serves as the hub for Dr. So's research program, focusing on how disrupted sleep acts as both precipitating and exacerbating factors of psychopathology, particularly in trauma contexts. The lab employs multimodal approaches to characterize cognitive and affective processes underlying nightmares and investigates environmental influences on sleep health disparities, with plans to expand into identifying sleep biomarkers of Alzheimer's risk.