Dr. Kaya de Barbaro is an Associate Professor in the Department of Psychology at the University of Texas at Austin (College of Liberal Arts). She holds a Ph.D. from the University of California San Diego. Her research focuses on bridging computer science and developmental/clinical psychology, particularly maternal mental health and infant social-emotional development. She directs the Daily Activity Lab, which uses mobile/wearable sensors and machine learning to analyze real-world interactions, aiming to develop just-in-time interventions for new mothers. Key research areas include maternal-infant dynamics, physiological synchronization, and the impact of environmental chaos on development. She has pioneered methods for analyzing high-density data, such as Granger causality and machine learning algorithms to detect behaviors like crying and holding. Recent work emphasizes leveraging ecological momentary assessment surveys and 24-hour LENA audio recordings to understand proximal mechanisms of development. Dr. de Barbaro teaches Psychology 333D (Introduction to Developmental Psychology) and has developed curricula for both in-person and online formats. She is actively involved in training students through the Eureka program at UT Austin. Her lab collaborates on tools like chatbots for postpartum mental health and has published extensively on sensor-based methodologies in developmental science.
James J. Gross is the Ernest R. Hilgard Professor of Psychology at Stanford University, directing the Stanford Psychophysiology Laboratory. He specializes in emotion regulation, with affiliations in Philosophy (courtesy). His education includes a Ph.D. in Clinical Psychology from UC Berkeley (1993), a B.A. in Philosophy and Psychology from Yale (1987), and a visiting graduate year at Oxford (1988). Research focuses on emotion regulation mechanisms, psychopathology, neuroimaging, and cultural influences. His work bridges clinical, cognitive, and social psychology, examining how individuals manage emotions to influence mental health and behavior. Notable contributions include the Process Model of Emotion Regulation and interventions targeting emotion regulation deficits. Publications (~650, 250k citations) highlight studies on emotion regulation strategies, clinical applications, and neural underpinnings. Recent work explores transdiagnostic treatments, digital health interventions, and the interplay between beliefs and emotion regulation. Awards: Stanford Dean’s Teaching Award, Walter J. Gores Award (highest teaching honor), multiple mentoring awards, and honorary doctorates from UC Louvain and Tilburg. Professional Roles: Co-founding President of the Society for Affective Science, Founding Co-Editor-in-Chief of Affective Science , and Fellow of major psychological and scientific societies. Labs/Teams: Directs the Stanford Psychophysiology Lab, collaborating on projects involving neuroimaging, psychophysiological assessment, and computational modeling of emotion processes.
James T. Enns is a Professor and Distinguished University Scholar in the Department of Psychology within the Faculty of Arts at the University of British Columbia. His research primarily focuses on the role of attention in human vision, with secondary interests in developmental psychology and human-machine interaction. Dr. Enns' research interests span perception, attention, vision, cognition, development, and human-machine interaction. His work explores how the human mind selects information, with particular emphasis on visual attention mechanisms. His laboratory research investigates the fundamental processes of visual perception and how attention modulates these processes across different contexts and developmental stages. Analysis of Dr. Enns' publication record reveals consistent engagement with visual perception, attentional mechanisms, and cognitive processing. His research demonstrates expertise in both theoretical frameworks and experimental methodologies related to visual attention, with applications spanning basic cognitive science to potential implementations in human-computer interaction systems. His work often bridges theoretical cognitive psychology with practical applications. Canadian Society for Brain, Behaviour and Cognitive Science Donald O. Hebb Distinguished Contribution Award (2013) Distinguished University Scholar, UBC (2004) Robert E. Knox Master Teaching Award (2004) Royal Society of Canada Fellow (2002) Killam Faculty Research Prize (1994) Killam Faculty Research Fellowship (1993) Society of Experimental Psychology Fellow Dr. Enns has served as Editor for the Journal of Experimental Psychology: Human Perception and Performance, and as Associate Editor for Psychological Science, Consciousness and Cognition, and Visual Cognition. His research has been supported by grants from NSERC, the Canadian Foundation for Innovation, the Australian Research Council, BC Health, and Nissan. He has authored textbooks on perception, edited research volumes on the Development of Attention, and published numerous scientific articles on vision, attention, and cognitive science. Dr. Enns is currently accepting graduate students and continues to mentor the next generation of cognitive scientists. Dr. Enns leads the UBC Vision Lab, which focuses on how the human mind selects information. The lab conducts research on visual attention, perception, and cognitive processes using a variety of experimental methodologies.
Jennifer Lavoie is an Associate Professor at Wilfrid Laurier University's Faculty of Human and Social Sciences, affiliated with the Department of Psychology and Criminology. She specializes in mental health crisis response, policing strategies, de-escalation techniques, and scenario-based training. Wilfrid Laurier University: Faculty of Human and Social Sciences, Psychology and Criminology Departments Research Interests : Her work focuses on integrating virtual reality and scenario-based training to improve police de-escalation skills. She examines violence risk assessment , correctional systems , and housing first programs for homeless individuals with mental illness. Recent studies address big data governance , cyberstalking victimization , and community-driven policing approaches . Publication Trends : Her research spans mental health policy , police training efficacy , and technological integration in crisis management . She explores virtual reality applications and community co-designed interventions , alongside longitudinal studies on stress and coping mechanisms in correctional and psychiatric settings. Scientific Awards : No scientific awards listed in available data. Advising : Actively supervises students in psychology and criminology, with unlisted advisees. Her work bridges academic research and practical policing applications .
Rebecca Cox is an Assistant Professor in the Department of Psychological & Brain Sciences at Washington University in St. Louis, where she leads the Sleep, Circadian Rhythms, and Psychopathology (SCRAP) Laboratory. Her research investigates the role of sleep and circadian rhythm disruption in anxiety-related disorders, employing multimethod approaches such as actigraphy, melatonin assays, ecological momentary assessment, and clinical trials. Education: PhD, Vanderbilt University MA, Vanderbilt University BA, Hendrix College Her research focuses on how disruptions in sleep and circadian rhythms affect physiological, cognitive, and affective functioning, contributing to the development and persistence of anxiety disorders. She is particularly interested in leveraging sleep and circadian medicine—including light therapy and cognitive behavior therapy for insomnia—as novel treatment strategies. Her work spans populations such as young adults and perinatal individuals, aiming to identify modifiable behavioral targets to improve mental health outcomes. The recent publications highlight a strong trend in integrating objective and subjective sleep measures with clinical psychology, particularly in OCD, PTSD, and general anxiety. Her work increasingly employs real-time data collection and population-level analysis to understand temporal and biological influences on mental health. Scientific Awards: No awards listed in the provided text. Dr. Cox advises students through the SCRAP Lab and is involved in clinical and translational research, though specific grants are not detailed. Her lab uses innovative methodologies to bridge basic science with clinical applications in mental health treatment. Labs and Teams: She directs the SCRAP Lab (Sleep, Circadian Rhythms, and Psychopathology Laboratory), which conducts interdisciplinary research combining sleep science, circadian biology, and clinical psychology to address anxiety-related psychopathology.
Daniel Powell is a Senior Lecturer in Health Psychology and Programme Director of the MSc Health Psychology at the University of Aberdeen, School of Medicine, Medical Sciences and Nutrition. He is a core member of the Aberdeen Health Psychology Group and the interdisciplinary Centre for Labour Market Research. He holds a PhD from the University of Southampton and became a Fellow of the Higher Education Academy in 2019. His educational background includes: BSc (Hons) Psychology – University of the West of England, 2007 MSc Health Psychology – University of Southampton, 2009 PhD Psychology – University of Southampton, 2014 Daniel's research focuses on health psychology, particularly using intensive longitudinal methods such as ecological momentary assessment (EMA) to study stress, fatigue, self-regulation, and decision-making in real-world contexts. His work spans chronic illness (e.g., multiple sclerosis, diabetes), healthcare professionals (e.g., doctors, nurses), and occupational settings (e.g., fly-in fly-out workers). He leads the Stress and Health Research Theme and convenes regular workshops to support health psychology researchers. His methodological expertise includes real-time data collection, psychophysiology (e.g., heart rate variability, cortisol), and interdisciplinary collaboration with health economics, primary care, and bioengineering. His recent publications (2024–2025) reveal a strong trend in investigating decision fatigue in healthcare, stress and recovery patterns in medical professionals using biometric monitoring, and the psychosocial impact of shift and rotation work. He frequently employs EMA and systematic reviews to explore behavioral patterns in context. His work also extends to sustainable clinical research and digital health tools for pandemic response. His scientific recognition includes: Stan Maes Early Career Award, European Health Psychology Society (2019) Rosemary Anne Price Student Award, MS Society (2013) Daniel actively supervises five PhD students on topics including decision fatigue in healthcare, quality of life after limb loss, stress in medical and dental students, and low-carbon clinical trials. He teaches across postgraduate programs, coordinates the PU5053 course on Stress, Personality & Health, and co-founded an annual Summer School in Intensive Longitudinal Methods. He has no indication of part-time status and is actively engaged in research, teaching, and leadership. He is affiliated with several professional organizations, including the British Psychological Society (Chartered Psychologist), Division of Health Psychology, European Health Psychology Society, and UK Society for Behavioural Medicine. His research lab is embedded within the Aberdeen Health Psychology Group, which fosters interdisciplinary collaboration and methodological innovation in health behavior research.
Jeremy I. Borjon is an Assistant Professor in the Department of Psychology at the University of Houston, affiliated with the College of Liberal Arts and Social Sciences. He leads the Developing Systems Laboratory, focusing on infant cognitive, sensorimotor, and autonomic development. His research is supported by an NICHD R00 award and integrates multimodal technologies such as eye-tracking, motion capture, and wireless physiological sensors. Education: A.B. in Psychology and Neuroscience, Princeton University Ph.D. in Psychology and Neuroscience, Princeton University Dr. Borjon's research centers on how infants coordinate internal states with emerging cognitive and motor systems during the first two years of life. He investigates how visual, motor, and autonomic processes interact in real time, particularly during naturalistic caregiver interactions. His work emphasizes ecological validity by studying infants in dynamic, real-world contexts. He is particularly interested in sustained attention, language development, and how caregiver behaviors shape infant cognition. His recent publications reflect a strong trend in using dense, naturalistic behavioral sampling to understand developmental processes. The articles highlight interdisciplinary approaches combining developmental psychology, neuroscience, and engineering to study real-time cognitive and physiological dynamics in infants. Topics include physiological synchrony, attention regulation, and sensorimotor integration. Scientific Awards and Honors: R00 Pathway to Independence Award, NICHD K99 Pathway to Independence Award, NICHD NSF Postdoctoral Research Fellowship NICHD T32 Postdoctoral Fellowship 2019 Small Grant for Early Career Scholars, SRCD NSF Graduate Research Fellowship Princeton President’s Fellowship Simons Fellow in Computational Neuroscience Dr. Borjon has been actively involved in mentoring and is currently reviewing graduate applications for the Developmental, Cognitive, & Behavioral Neuroscience Program. His research is supported by federal grants, indicating active funding and research productivity. He previously held postdoctoral fellowships at Indiana University and positions at Yale and Emory. He directs the Developing Systems Laboratory, which employs cutting-edge technology to study infant behavior in naturalistic settings. The lab integrates head-mounted eye-tracking, wireless cardiorespiratory sensors, motion capture, and audiovisual recording to examine how cognitive achievements emerge within the context of a developing body and social environment.
Katherine Thorson is an Assistant Professor at Barnard College , affiliated with the Department of Psychology . Her research focuses on interpersonal interactions , intergroup dynamics , and physiological responses in social contexts. B.A. in Psychology from Bates College M.A. and Ph.D. in Psychology from New York University Thorson’s work explores how stereotype threat affects gender dynamics in STEM, physiological synchrony in romantic and professional settings, and methodological innovations in dyadic and longitudinal data analysis. Her research often bridges social psychology and health outcomes . Recent trends in her publications include studies on intellectual humility in guided conversations, physiological linkage in diverse contexts (e.g., doctor-patient interactions, group therapy), and mindfulness in social engagement. Society for Experimental Social Psychology Dissertation Award finalist Funded by the Society for the Psychological Study of Social Issues She applies dyadic data analysis and multilevel modeling to examine how social environments shape psychological experiences and physiological outcomes .
Heather L. Urry is a Professor of Psychology at Tufts University's School of Arts and Sciences. She earned her PhD in Clinical Psychology from the University of Arizona (2001) and completed postdoctoral training in affective neuroscience at the University of Wisconsin-Madison. Since 2005, she has directed the Emotion, Brain, & Behavior Laboratory (EBBL), focusing on how people experience, express, and regulate emotions using behavioral and psychophysiological methods. Her research examines emotion regulation dynamics, stress impacts on cognitive-motor performance, and individual differences in affective processing. Recent work explores time pressure effects on behavior, cognitive reappraisal efficacy, and large-scale replications in psychological science. She champions open science practices, including data sharing and study preregistration. Recent publications (2021-2025) demonstrate a strong focus on stress, emotion regulation techniques, and methodological rigor. Major themes include: cognitive reappraisal applications in exercise/stress contexts; anxiety reduction interventions; sociopolitical perceptions of discrimination; and pandemic-related mental health messaging. Cross-cultural collaborations feature prominently in her global health studies. Awards include the Outstanding Faculty Contribution to Graduate Education (2019). Grant support includes NIH funding for therapy dog intervention mechanisms and U.S. Army contracts for applied cognitive science (2017-2029). At Tufts, she teaches 30+ psychology courses including Doctoral Dissertation supervision and research methodology. As EBBL director, she oversees investigations into stress responses and emotion regulation, mentoring students in experimental protocols involving physiological measures.
Jürgen Sauer is a Full Professor at the University of Fribourg , affiliated with the Department of Psychology under the Faculty of Letters and Human Sciences . With over 120 publications, his research focuses on Human-Machine Interaction , Usability Testing , User Experience (UX) , and Automation Design , particularly in high-stakes environments like X-ray baggage screening and spaceflight simulations . Email: juergen.sauer@unifr.ch Phone: +41 26 300 7622 Address: RM 01 bu. C-1.117, Rue PA de Faucigny 2, 1700 Fribourg Orcid: 0000-0003-2105-1694 His research projects, funded by the Swiss National Science Foundation (FNS), include: Improving work design for airport security officers (2019-2024): Developed pictorial scales for measuring psychological constructs in security environments. Social stress and support in hybrid teams (2018-2023): Investigated machine-induced social stressors and mitigation through social support. Automation in visual inspection tasks (2014-2018): Examined adaptable automation for baggage screening and system reliability effects. Usability testing effectiveness (2012-2016): Analyzed cultural background impacts and non-usability product features influencing test outcomes. Key contributions include the Luggage Inspection Simulation (LIS) environment for modeling work environments and the development of pictorial usability scales for multilingual applicability. His work bridges ergonomics , human factors , and applied psychology , with notable collaborations with researchers like Adrian Schwaninger and Andreas Sonderegger . His recent publications (2025-2014) analyze: Human-machine performance under false alarms and miscues Social stressor dynamics in hybrid teams Usability scale animation effects Phubbing behavior in professional contexts Accessible website design for non-disabled users
Anne Danielsen is a Professor and Deputy Head at the RITMO Center for Interdisciplinary Studies of Rhythm, Time, and Motion at the University of Oslo. Her research bridges musicology, cognitive science, and interdisciplinary studies, focusing on rhythm, music production, and the intersection of music, media, and technology. University: University of Oslo Role: Professor Projects: TIME (NFR TOP RESEARCH), RITMO (NFR Center of Excellence) Danielsen’s work explores microrhythm , groove , and temporal perception in music, with a particular emphasis on popular and African-American music . She investigates how music cognition interacts with sonic features and body posture in performance, integrating psychological and acoustic analysis . Her recent projects include MusicLab Copenhagen , a dataset for interdisciplinary concert research, and studies on beta oscillations and pupil responses in groove perception. Danielsen collaborates across disciplines, examining how personality traits and genetic factors influence musical sensibility through twin studies. In music production , she analyzes how digital audio workstations transform rhythmic structures and investigates acoustic chamber design for sound experiments. Her research also addresses gender patterns in music mediation and the cultural implications of rhythmic aesthetics.
Dr. Almila Akdag is an Assistant Professor in Human-Centered Computing at Utrecht University's Faculty of Science, Department of Information and Computing Sciences. As a Digital Humanities scholar with expertise spanning new media analysis, bibliometrics, and information visualization, she combines qualitative and quantitative methods to study humanities and social data. Research Focus Her interdisciplinary research bridges: Digital Humanities : Computational analysis of cultural artifacts including paintings, poetry, and oral histories Human-Centered AI : Developing empathetic and accessible AI systems Trauma Informatics : Analyzing breathing patterns in oral histories of trauma survivors Cultural Analytics : Studying art communities and online creative platforms Following the 2023 Turkey/Syria earthquake, she is creating an oral history archive to document collective memory of the disaster, with particular focus on Turkish, Kurdish and Syrian diaspora experiences. Awards and Recognition NWO VENI laureate for 'deviantArt: Mapping the Alternative Art World' project Co-initiator of Mellon Grant: 'Tools for Analysis and Visualization of Large Image/Video Collections for Humanities' Leadership and Service Workgroup leader of 'Visual Media and Interactivity' for DARIAH-EU Founding member of International Society for Knowledge Organization (ISKO LC Low Countries Chapter)
Gaang Lee is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering, where he joined in 2022 after earning his Ph.D. from the University of Michigan. His research pioneers 'sympathetic' built environments that enhance safety, health, productivity, and comfort for workers and users through integration of wearable biosensors, AI, extended reality, and robotics with psychophysiological theories. Education: Ph.D in Civil and Environmental Engineering, University of Michigan, Ann Arbor (2022) - Emphasis: Construction Engineering and Management; Graduate Certificate in Computational Discovery and Engineering Graduate Certificate in Computational Discovery and Engineering, University of Michigan, Ann Arbor (2022) M.S. in Architectural Engineering, Yonsei University, South Korea (2012) - Emphasis: Construction Engineering and Management B.S. in Architectural Engineering, Yonsei University, South Korea (2010) Dr. Lee combats technological exclusion for marginalized groups (construction workers, older adults) by developing empathetic technologies for workplaces, buildings, and urban spaces. His work applies human sensing, AI, and digital twins to create environments that adapt to diverse human needs, with key projects spanning psychophysiological safety monitoring, human-robot collaboration, and inclusive urban design. He integrates psychophysiological and socio-cognitive theories to address real-world gaps in construction engineering and computer science. His recent publications (2023-2025) reveal strong trends in AI-driven safety hazard identification, biosensor-based stress/fatigue monitoring, and virtual reality for construction team dynamics. A critical emerging focus is equity-centered technology design, with increasing publications addressing inclusive built environments and technological access for vulnerable populations through graph-based algorithms, domain adaptation, and interpretable AI models. Scientific Awards: No awards mentioned in the provided text. Dr. Lee actively recruits students for his 'Empathetics' research group starting in 2026, prioritizing candidates with empathy, research motivation, and commitment to diversity and inclusion. While specific grants are not detailed, his research program receives institutional support from the University of Alberta and likely external funding given its interdisciplinary scope and industry relevance. He leads the 'Empathetics' research group (part of Attentive Hub) which emphasizes diversity as fundamental to innovation. Current projects include psychophysiological monitoring for occupational safety, trustable human-robot collaboration systems, and extended reality frameworks for empathetic built environments. The group collaborates with IHT LAB (https://www.iht-lab.com/) and focuses on deploying technologies that make daily surroundings safe, healthy, and truly inclusive for all individuals.
Fallon Goodman is an **Assistant Professor of Psychological and Brain Sciences at George Washington University**, leading the **Emotion and Resilience Laboratory**. Her research focuses on fostering social connection and resilience among populations vulnerable to social stress, particularly sexual minorities and individuals with social anxiety. She employs smartphone-based ecological momentary assessment to study real-time emotional and behavioral patterns. **Education**: PhD in Psychology from George Mason University (2019), with clinical training including a doctoral internship at Harvard Medical School. **Research Interests**: Her work bridges clinical psychology and positive psychology, addressing mechanisms of social anxiety, health disparities, and resilience. Key topics include the role of technology in mental health monitoring, the impact of minority stress on well-being, and the development of interventions to promote authentic social engagement. **Lab Mission**: The Emotion and Resilience Lab emphasizes interdisciplinary collaboration and translational research, aiming to create equitable solutions for mental health challenges. Current projects investigate the daily dynamics of emotion regulation, the effects of social media on anxiety, and the use of wearable devices for psychological assessment. **Advising & Grants**: While no specific grants are listed, her lab's focus on real-time data collection suggests ongoing research initiatives. Collaborations with clinical institutions like Harvard Medical School highlight translational priorities. **Future Work**: Expanding studies on global mental health disparities, particularly among LGBTQ+ populations, and refining curricula for teaching resilience in academic settings.
Talie Massachi is a Lecturer in the Department of Computer and Information Science at the University of Pennsylvania, specializing in human-computer interaction with a focus on social support networks in online communication platforms. Her work bridges technology design with psychological understanding to create systems that enhance emotional wellbeing through digital interactions while preserving privacy. Her educational background includes: PhD in Computer Science from Brown University, where she worked in the Brown HCI Lab under the supervision of Professor Jeff Huang BS in Computer Science and Psychology from Brandeis University (2018) Dr. Massachi's research investigates how people build and maintain social connections through digital channels, with particular emphasis on anonymous communication and mental health support. Her work combines rigorous user studies with practical system development, often resulting in open-source tools that address specific challenges in online social interaction. She approaches problems at the intersection of technology design, psychology, and social behavior, seeking solutions that balance user needs with ethical considerations. Her publication record shows consistent contributions to top HCI venues (CSCW, CHI, IUI), with recent work focusing on worker wellbeing, personal data reflection, and the socio-emotional impacts of limited communication channels like emoji-only interactions. Her research demonstrates methodological diversity, employing qualitative studies, user experiments, and system development to explore how technology can foster meaningful connections. Dr. Massachi is actively engaged in teaching user interface and experience design, having taught courses at both Brown University and the University of Pennsylvania. She has instructed both introductory workshops for non-majors and advanced courses for computer science concentrators, demonstrating adaptability in her pedagogical approach. She leads two major research projects: Chirp (a social support system with anonymous emoji-based mood tracking, evaluated in a 90-person user study) and Sochiatrist (a social data extractor for mental health research that has processed data from over 350 individuals). These projects involve collaboration with clinical researchers and are supported by multiple NIH grants including R21 HD088739, R01 MH108641, and others.
