Margaret Bublitz is Associate Professor at Brown University with joint appointments in the Department of Psychiatry and Human Behavior , Department of Medicine , and Department of Obstetrics and Gynecology . She holds secondary appointments at the School of Public Health as Senior Investigator and Behavioral and Social Sciences faculty member. Dr. Bublitz earned her PhD in Clinical Psychology (2010) from the University of British Columbia, followed by postdoctoral training in Cardiovascular Behavioral Medicine at Brown Medical School. Her research focuses on: Psychological stress pathways to adverse perinatal outcomes Maternal childhood maltreatment effects on neurobiology Mindfulness interventions for hypertension and preterm birth prevention Her 15 most recent publications demonstrate expertise in perinatal mental health , sleep-disordered breathing , HPA axis regulation , and fetal neurodevelopment , with significant collaborations in neuroendocrinology and maternal-infant health disparities . Scientific recognition includes: 2024-2025 Global Fulbright Scholarship 2022 Brown Early Career Research Achievement Award Multiple NIH and foundation grants exceeding $6 million Bublitz leads NIH-funded projects examining mechanisms of mindfulness training (R01HL157288) and serves as mentor in the MORPHE Trial for digital maternal health innovations. She is a licensed psychologist and active member of Brown's Stress, Trauma and Resilience (STAR) Institute and Mindfulness Center .
Dr. Frances Chen is a Professor and Area Coordinator in the Department of Psychology at the University of British Columbia (UBC), located on the traditional, ancestral, and unceded territory of the Musqueam People. She holds a PhD from Stanford University (2009). Her research integrates health psychology, social psychology, and neuroendocrinology to explore how social experiences influence mental and physical health. Key areas include the physiological impacts of loneliness, social support, and hormonal changes during puberty on adolescent development. Education: PhD, Psychology, Stanford University, 2009 Research Focus: Dr. Chen investigates how social interactions 'get under the skin' through studies on loneliness, stress, conflict negotiation, and hormonal mechanisms. Her work emphasizes interventions to enhance social connection and reduce health disparities. Recent Article Trends: Recent publications highlight interdisciplinary approaches, including genetic influences on depression, effects of near-infrared lighting on cognition, and longitudinal studies on adolescent hormonal contraceptive use. Her work bridges basic science and applied health outcomes. Awards & Grants: Michael Smith Health Research BC C2 Award (2022) Killam Faculty Research Fellowship (2019) Teaching & Learning Enhancement Fund Grant (2025) SSHRC Prosociality Project Funding (2023) Lab & Mentorship: Director of the Social Health Lab, she mentors graduate and undergraduate students, prioritizing equity and inclusion. Recent lab achievements include studies on teen health development and interventions to improve student success in psychology programs. Lab Initiatives: UBC Teen Health and Development Study (longitudinal hormonal/mental health tracking) NIR lighting health impact research (collaborative interdisciplinary project) Prosociality 'in the Wild' SSHRC project
Dr. Robin Laycock is a Senior Lecturer in the Department of Health and Biomedical Sciences at RMIT University. He leads the Social and Cognitive Neuroscience (SoCoNeuro) Lab, focusing on behavioral and neural mechanisms of social perception in neurotypical and neurodivergent populations, including autism spectrum disorders and the neurocognitive effects of concussion. His research integrates methodologies such as eye-tracking, EEG, and fNIRS to study visual perception, face processing, and the impact of stress/anxiety on cognition. Dr. Laycock holds a PhD from La Trobe University, where he investigated visual processing pathways. His work also includes the BabyFace study, exploring social perception in pre-term infants using fNIRS. He is affiliated with RMIT’s Healthy Foundations Research Group and supervises research projects on topics like concussion neurocognition and social media’s neurobiological effects. Research interests span visual neuroscience, social neuroscience, and clinical applications of neuroimaging. He teaches undergraduate courses in Biological Psychology and supervises postgraduate research in vision science, neuropsychology, and affective neuroscience. His lab’s recent studies examine sex differences in sports-related concussion neuroimaging and the role of deepfakes in emotion perception research. He actively collaborates on projects addressing autism traits, stress effects on visual processing, and neuroimaging advancements.
W. Hong Yeo is a Professor in the Woodruff School of Mechanical Engineering and Program Faculty in Bioengineering at the Georgia Institute of Technology, where he also directs the WISH Center. He holds adjunct appointments in the Wallace H. Coulter Department of Biomedical Engineering. Previously, he was an Assistant Professor at Virginia Commonwealth University (2014-2016) and a postdoctoral fellow at the University of Illinois Urbana-Champaign's Beckman Institute. Dr. Yeo's research integrates nanomechanics, soft materials, and nano-microfabrication to develop bio-interfaced systems. Key areas include: Flexible Bioelectronics : Wearable/implantable sensors for health monitoring Human-Machine Interfaces : Neural prosthetics and soft robotics Translational Nanoengineering : Nanoparticle biosensing and diagnostics His publications (2023-2025) demonstrate strong focus on wireless health technologies, including multi-modal wearable systems, implantable sensors for cardiovascular/neurological monitoring, and AI-integrated diagnostics. Trends show increasing emphasis on closed-loop therapeutic systems and scalable manufacturing. Awards & Recognition : BMES Innovation and Career Development Award Virginia Commercialization Award Blavatnik Award Nominee NSF Summer Institute Fellowship Research funding sources include MEDARVA Foundation, NIH, DARPA, and industry partners like CooperVision. He leads the Center for Human-Centric Interfaces & Engineering , developing next-generation bio-interfaced systems.
Jonathan Santo is a Professor of Psychology at the University of Nebraska at Omaha (UNO), where he serves as Director of the Graduate Developmental Psychology Program and as a faculty member in the Office of Latino/Latin-American Studies. His research explores peer relations, cultural differences in self-esteem, and classroom-level influences on child and adolescent development, with a focus on improving school environments and fostering positive social interactions. ORCA Faculty Fellow His research spans broad areas including Developmental Psychology , Social Support Systems , and Cross-Cultural Peer Dynamics , with specific attention to peer victimization , self-continuity , school climate , and developmental trajectories in Brazilian and Colombian youth . Recent publications analyze topics like hikikomori experiences , friendship security , and HPA axis dysregulation in adolescents. Scientific awards include the ORCA Faculty Fellow recognition. His work often involves longitudinal assessments of peer relationships cross-cultural comparisons (Brazil, Colombia, China, Nigeria, Singapore, U.S.) policy-focused blog posts on family separations and school interventions
Carlos Fernandez-Granda is an Associate Professor of Mathematics and Data Science at New York University, holding joint appointments at the Courant Institute of Mathematical Science and the Center for Data Science. He currently serves as the Interim Director of the Center for Data Science. His academic career spans over a decade at NYU, where he has taught probability and statistics to data-science students. Dr. Fernandez-Granda's research focuses on designing and analyzing data-science methodology, with current emphasis on machine learning applications in medicine, climate science, and scientific imaging. His work bridges theoretical foundations with practical applications across multiple domains. His notable contributions include: Development of the COBRA (COnfidence-Based chaRacterization of Anomalies) score for automatic assessment of impairment and disease severity Applications of machine learning to improve climate projections through the M2LInES project Research on magnetic resonance fingerprinting for quantitative tissue parameter estimation Development of AI systems for medical diagnostics including Alzheimer's detection and breast cancer diagnosis Dr. Fernandez-Granda is the author of the book "Probability and Statistics for Data Science," published by Cambridge University Press. The book serves as a comprehensive guide to the two pillars of data science, featuring real-world datasets and addressing fundamental challenges like overfitting, the curse of dimensionality, and causal inference. His research has been supported by grants from the National Science Foundation (Division of Mathematical Sciences, grants 1616340 and 2009752) and the Alzheimer's Association (grant AARG-NTF-21-848627). Dr. Fernandez-Granda is actively involved in several collaborative projects: M2LInES project: An international collaboration focused on improving climate projections using machine learning to capture unaccounted physical processes at the air-sea-ice interface Math and Data group: Exploring the intersection of mathematical theory and data science applications
Catherine Mooney is a Professor in the School of Computer Science at University College Dublin (UCD), leading the Life Science Data Analytics Group (LiSDA). Her research focuses on applying machine learning to healthcare challenges, including biomarker development, clinical decision support systems, and addressing ethical and technical barriers in healthcare AI. Education: BSc in [field unspecified] from Trinity College Dublin PhD in Computer Science from UCD Prof Dip University Teaching & Learning from UCD Research Interests: Machine Learning applications in healthcare Biomarker discovery for neurological and metabolic conditions Explainable AI for clinical decision support Promoting diversity and inclusion in STEM education Her work bridges computational methods with medical challenges, emphasizing ethical AI and translational research. Notable Awards: Best Paper Award in Applied Biosciences (2023) UCD Long-Service Award (2022) Best Poster Award at ITiCSE ’20 (2020) Her research has led to impactful tools like LiSDA’s clinical decision support systems for epilepsy and pregnancy care. She also advocates for gender diversity in computing, serving in leadership roles like Vice Principal for EDI in UCD’s College of Science (2022–2024).
Inna Fishman, Ph.D., is a Research Associate Professor at San Diego State University's Department of Psychology within the College of Sciences. Her research investigates brain network organization in autism spectrum disorder (ASD) using multimodal MRI techniques, focusing on developmental trajectories from toddlerhood to adulthood. She directs studies on sensory processing, socioeconomic influences, and neural connectivity patterns in ASD. Research Focus: Dr. Fishman's work bridges social neuroscience and clinical neuropsychology, examining: Early biomarkers of ASD via functional/diffusion MRI Impact of bilingualism and socioeconomic factors on neurodevelopment Sleep disorders and sensory sensitivities in autistic children Aging-related neural changes in adults with ASD Publication Trends: Her recent articles (2021-2025) emphasize: 1) Advanced neuroimaging of ASD across lifespan stages, 2) Machine learning applications for diagnostics, 3) Socioeconomic and environmental modulators of brain development, and 4) Sleep/auditory processing comorbidities. Student Advising & Grants: She mentors doctoral candidates (Lindsay Olson, Jiwandeep Kohli, Bosi Chen) and leads NIH-funded projects including a clinical psychology fellowship for autism evaluation across ages. Laboratory Affiliation: Dr. Fishman co-directs the Brain Development Imaging Laboratories (BDIL), which investigates ASD manifestations through behavioral and neuroimaging approaches.
Dr. Amy Damashek serves as Professor in the Department of Psychology at Western Michigan University, teaching undergraduate and graduate courses while mentoring Clinical Psychology doctoral students. She chairs the department's Diversity, Equity, and Inclusion Committee and maintains an active research program focused on vulnerable populations. Education: Ph.D. in Psychology, University of Missouri-Columbia (2007) Postdoctoral Fellowship, University of Oklahoma Health Sciences Center (2009) Research Focus: Her work centers on preventing child maltreatment and unintentional injuries among at-risk youth, with specialized expertise in infant sleep-related deaths and health disparities . She develops culturally responsive parenting interventions for low-income and Spanish-speaking families, emphasizing community-based solutions through home visiting programs. Publication Trends: Recent work (2020-2023) demonstrates consistent focus on pandemic adaptation of family services, safe sleep practices in marginalized communities, and digital intervention strategies. Her mixed-methods approach bridges clinical psychology with public health, prioritizing implementation in real-world settings. Scientific Recognition: Fellow of the American Psychological Association Former President of APA Division 37 (Society for Child and Family Policy and Practice) Grants & Mentoring: Secured federal funding for child injury prevention in underserved communities. Mentors Clinical Psychology doctoral students with emphasis on culturally competent practice, accepting new graduate students for Fall 2025. Her federally funded work directly informs evidence-based home visiting protocols. Research Ecosystem: Collaborates extensively with community health workers, home visiting agencies, and pediatric care providers to implement and evaluate interventions addressing structural barriers in family support systems.
Dr Valdas Noreika is a Senior Lecturer in Psychology at the School of Biological and Behavioural Sciences, Queen Mary University of London. He serves as Head of The Centre for Brain and Behaviour and leads the Sleep and Cognition Lab. His work bridges cognitive neuroscience, psychology, and clinical applications, with a focus on understanding consciousness and its disorders. Dr Noreika's educational background includes: BA in Philosophy from Vilnius University, Lithuania MSc in Neurobiology from Vilnius University, Lithuania PhD in Psychology from the University of Turku, Finland, focusing on altered states of consciousness and temporal distortions Dr Noreika's research explores the cognitive and neural mechanisms underlying sleep, dreaming, and consciousness. Using techniques including electroencephalography (EEG), transcranial magnetic stimulation (TMS), and psychophysics, his work investigates both basic mechanisms of consciousness and their applications to neurodevelopmental and mental health conditions. His research spans multiple domains including time processing, inter-brain synchronization across species, and environmental decision-making. A key aspect of his work involves translational research focusing on sleep, subjective experiences, and well-being in conditions such as learning disabilities, ADHD, autism, and depression. Analysis of Dr Noreika's recent publications reveals a strong focus on consciousness studies, neural mechanisms of sleep and dreaming, and applications to neurodevelopmental conditions. His work frequently employs EEG and other neuroimaging techniques to study brain activity during various states of consciousness. Recent trends show increasing emphasis on inter-brain synchronization, particularly in infant-parent interactions and cross-species communication, as well as growing interest in environmental psychology and climate change-related decision making. Dr Noreika has secured significant research funding including: The neural basis of inter-species communication - £155,098 from the Biotechnology and Biological Sciences Research Council (2024-2026) Sleep and circadian interactions with sensory sensitivity in adults with intellectual disabilities - £103,229 from the Baily Thomas Charitable Fund (2023-2025) As a supervisor, Dr Noreika advises multiple PhD students working on diverse topics including Alzheimer's disease diagnosis using information theory, emotion recognition, thermal sensation in Parkinson's disease, cultural differences in cognitive processes, and time processing. His Sleep and Cognition Lab serves as a hub for interdisciplinary research bridging neuroscience, psychology, and clinical applications. Dr Noreika leads the Sleep and Cognition Lab at Queen Mary University of London, which focuses on investigating the neural mechanisms of sleep, dreaming, and consciousness. The lab brings together researchers from diverse backgrounds to study both fundamental aspects of consciousness and their applications to clinical populations. Current projects include investigations of sleep and sensory sensitivity in adults with learning disabilities and human-dog interaction studies.
Dr. Rong-Hao Liang is an Assistant Professor at Eindhoven University of Technology (TU/e), affiliated with both the Future Everyday Group (Department of Industrial Design) and the Signal Processing Systems Group (Department of Electrical Engineering). His research bridges intelligent sensing systems and user interface technology for ubiquitous computing and embodied human-computer interaction . He co-organized international ACM conferences (CHI, UIST, DIS) and has over 70 peer-reviewed publications and 10 patents. PhD in Computer Science (2014) and MSc in Electrical Engineering (2010) from National Taiwan University Founded GaussToys Inc. in 2015, focusing on magnetic-field sensors Cross-appointed to Electrical Engineering in 2021 His research explores intelligent sensing systems , tangible user interfaces , and physiological sensors for real-world challenges. Key trends in his work include ubiquitous health monitoring (e.g., preterm infants), wearable technology , and innovative interaction design . Articles like GaussBits and NFCStack demonstrate his focus on magnetic and RFID-based tangible systems . Scientific awards include the ACM CHI 2013 Best Paper Award , 2014 Honorable Mentions , and the ACM SIGGRAPH Asia 2012 Emerging Technologies Prize . He mentors passion-driven projects in user interface design and embedded systems , emphasizing technical rigor and creativity. His STRAP project (2020–2025) addresses heart disease prevention via big data and AI . Labs and teams include the Future Everyday Group and Signal Processing Systems Group , with collaborations across healthcare , education , and technology startups . His work aligns with UN Sustainable Development Goals , particularly good health and well-being .
Dr. Emma Axelsson is a Lecturer at the School of Psychological Sciences, University of Newcastle, Australia. Her research focuses on cognitive and social development in typically and atypically developing children, with specific interests in early word learning, sleep-related memory consolidation, screen time effects on development, and infants' social category representations using eye-tracking technology. Doctor of Philosophy, University of East London Bachelor of Arts (Honours in Psychology), University of Queensland Dr. Axelsson's research spans multiple disciplines including cognitive neuroscience, memory and attention, and child development. She explores how sleep patterns interact with learning outcomes, investigates screen time's impact on preschoolers' cognition, and examines visual processing of bodies and faces in developmental contexts. Her recent publications highlight trends in screen time research, with 2025 studies analyzing executive function and sleep interactions, and 2024 work examining cross-species social evaluation mechanisms. Earlier articles (2022-2013) cover temperament effects on word learning, body perception mechanisms, and longitudinal developmental studies. Dr. Axelsson supervises multiple PhD and Masters projects related to screen time, sleep, and neurodevelopmental outcomes. Her research team collaborates internationally through networks like ManyBabies and Healthy Minds (Hunter Medical Research Institute).
Dr. Michelle Lampl is the Charles Howard Candler Professor at Emory University and Director of the Emory Center for the Study of Human Health. She holds leadership roles in the Emory-Georgia Tech Predictive Health Initiative and the Center for Health Discovery & Well Being. Her academic career spans over three decades, with a focus on human growth and development from an interdisciplinary perspective. Dr. Lampl earned her PhD (1983) and MD (1989) from the University of Pennsylvania. Her research revolutionized understanding of growth patterns through her discovery of saltatory growth (spurt-based growth cycles). Current studies investigate genetic/environmental interactions influencing growth, including hormonal, nutritional, and immunological networks. Her research portfolio includes collaborations with international institutions like the University of Southampton (UK) and NIH-funded projects through NICHD. Over 100 peer-reviewed publications highlight her contributions to developmental origins of health and disease (DOHaD), fetal programming, and pediatric growth mechanisms. Dr. Lampl pioneered the undergraduate College programs in human health and co-developed Emory’s Predictive Health strategic plan. She launched the Predictive Health & Society minor and contributes to the Molecules to Mankind graduate program. Her awards include AAAS Fellowship (2010) and Emory’s top teaching honor. Key areas of impact: Established growth chart limitations through saltation theory Linked maternal nutrition to fetal growth trajectories Advocated for interdisciplinary health education
University of North Carolina at Chapel HillUnited States
Lisa Shifflett is a Clinical Research Specialist and Child Care Health Consultant Coach at the University of North Carolina at Chapel Hill’s Gillings School of Global Public Health, Department of Maternal and Child Health. With 27 years of experience, she focuses on enhancing early care quality in licensed child care programs through health, safety, and nutrition guidance. She serves as a primary resource for child care facilities in North Carolina, offering technical assistance, training, and health assessments. Her expertise includes emergency preparedness, medication administration in child care, infant safe sleep practices, and allergy management. She leads the NC Child Care Health and Safety Resource Center, promoting stable, safe environments for children through reduced staff turnover and compliance with health regulations. Shifflett is a Registered Nurse (RN) and holds a CCHC-C certification. Her work emphasizes translating regulatory standards into actionable practices for child care providers, ensuring adherence to health guidelines across early education settings.
Elena Serena Piccardi is a Senior Lecturer in Developmental Psychology at the University of East London (UEL), School of Childhood and Social Care. Her research focuses on the early development of sensory perception in infants at elevated likelihood for Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), utilizing EEG to identify neural markers linked to sensory processing and their longitudinal relationships with behavioral and clinical assessments. Education: PhD in Developmental Cognitive Neuroscience, Birkbeck, University of London (2021) Postgraduate Certificate in Teaching and Supporting Learning in Higher Education, Birkbeck & Higher Education Academy (2019) MSc in Cognitive Neuroscience & Clinical Neuropsychology, University of Padova (2015) BSc in Clinical Psychology, University of Bergamo (2013) Elena's research explores how early sensory atypicalities in tactile, auditory, and visual domains impact later social and cognitive development. Her work emphasizes translational foundations for early intervention protocols and cross-institutional collaboration with the Centre for Brain and Cognitive Development (Birkbeck), University of East Anglia, and Cambridge University. Her recent publications span topics like sensory regulation in typical/atypical development, research reproducibility frameworks, and neural markers of tactile processing in infants. She is a Wellcome Trust Research Fellow and Local Lead for the UK Reproducibility Network, advocating for open science practices. Teaching & Public Engagement: Module Leader for PY7160 (Independent Research Dissertation, MSc) Contributor to PY6010, PY5010, and other developmental psychology courses Public dissemination: STAARScast podcast (2022), UEL Women in Science feature (2022), and international media collaborations
