Erik Frykholm is a postdoctoral researcher and staff scientist at Umeå University's Department of Community Medicine and Rehabilitation, specializing in Physiotherapy. He actively teaches at both undergraduate and advanced levels in the Physiotherapy program while conducting research focused on exercise interventions for older adults and individuals with chronic obstructive pulmonary disease (COPD). His work emphasizes measurement methods for muscle function and exercise evaluation. Current affiliation: Umeå University Department: Community Medicine and Rehabilitation Section: Physiotherapy Academic role: Researcher Frykholm's research primarily investigates exercise physiology in aging populations and COPD patients, with publications covering high-intensity interval training (HIIT) feasibility, muscle function assessment techniques, and resistance training protocols. He contributes to the Umeå Translational Respiratory EXercise group (U-TREX) and participates in projects like the Umeå HIT Study (2019-2024) and ENDURE/PREDQUAD (2016-2023). His recent publications demonstrate a consistent focus on clinical exercise physiology, particularly analyzing quadriceps endurance measurement reliability and developing exercise programs for special populations. The work integrates both geriatric and pulmonary rehabilitation perspectives, emphasizing valid and feasible assessment methods.
Jane Halpert serves as a Professor of Psychology within the Industrial and Organizational Psychology program at DePaul University's College of Science and Health. Her academic appointment resides in the Department of Psychology where she conducts research at the intersection of workplace dynamics and psychometric assessment. Her educational foundation was established at Wayne State University: BA in Psychology (1979) MA in Industrial & Organizational Psychology (1982) PhD in Industrial & Organizational Psychology (1985) Professor Halpert's research program centers on workplace discrimination mechanisms, particularly regarding pregnancy, marital status, and family situations, alongside rigorous investigation of psychometric properties in retesting scenarios. She examines how personal circumstances influence employee perceptions and organizational treatment while analyzing test-retest reliability for workplace outcome prediction. Analysis of her publication record (1997-2010) reveals two persistent research trajectories: longitudinal examination of evolving societal attitudes toward pregnant employees and meta-analytic quantification of practice effects in cognitive ability testing. This dual focus demonstrates consistent commitment to both social dynamics in organizational settings and methodological precision in personnel assessment. No scientific awards or professional honors were documented in the source material. Information regarding graduate student advising responsibilities and externally funded research grants remains unspecified in the available profile. The institutional documentation provides no details concerning dedicated research laboratories, specialized teams, or collaborative research structures associated with her work.
Yea-Jen Hsu is an Associate Research Professor in the Department of Health Policy and Management at the Johns Hopkins Bloomberg School of Public Health. She is actively engaged in health services research with a focus on patient safety, quality improvement, and implementation science. Education: PhD, Johns Hopkins Bloomberg School of Public Health, 2011 MHA, National Yang-Ming University, 2003 BS, National Taiwan University, 2001 Dr. Hsu’s research centers on program evaluation and the application of implementation science to improve healthcare delivery. Her work emphasizes enhancing patient safety culture, reducing healthcare-associated infections, and developing innovative models such as integrating buprenorphine into primary care. She employs rigorous quantitative methods to assess interventions and identify success factors. Her recent publications (2024–2025) reflect a strong focus on patient engagement in pain management, hypertension disparities, infection risk modeling, and electronic health record analytics. These works span high-impact journals in medical quality, internal medicine, and infection control, demonstrating interdisciplinary collaboration and relevance to real-world healthcare systems. Scientific Awards: No awards mentioned in the provided text. Dr. Hsu collaborates extensively with national programs such as the CDC’s Prevention Epicenters and contributes to multi-level interventions aimed at systemic healthcare improvements. While no specific grants or advising roles are listed, her leadership in survey development, data evaluation, and collaborative research indicates active involvement in funded projects. She is not affiliated with a named lab or research team, but her network includes key figures in patient safety and health policy at Johns Hopkins and beyond.
Chiara Bulgarelli is a Leverhulme Trust Early Career Research Fellow at Birkbeck's Centre for Brain and Cognitive Development. She holds a PhD in Developmental Cognitive Neuroscience from Birkbeck and leads the ToddlerLab neuroimaging facility. Research Focus: Examines neurodevelopment during social interactions using fNIRS and VR technologies. Her Leverhulme-funded project investigates empathy development in 3-5-year-olds, combining wearable neuroimaging with virtual reality scenarios to study real-time neural responses. Methodological Expertise: Pioneers mobile fNIRS applications for freely moving toddlers and validation of VR paradigms for developmental populations. Contributes to fNIRS methodology standardization through the FRESH reproducibility initiative. Publication Trends: Recent work (2023-2025) establishes neural correlates of empathy in toddlers, validates VR-fNIRS methods for neurodiverse children, and identifies infant brain connectivity patterns predicting childhood cognitive flexibility. Earlier research mapped fronto-temporoparietal connectivity development. Collaborations: Worked on the BRIGHT project creating neurodevelopmental curves for infants in low-resource settings. Current interdisciplinary projects validate VR setups for neurodivergent children through EPSRC funding.
Sarah F. Muldoon is an Associate Professor in the Department of Mathematics at the University at Buffalo, SUNY. Her research focuses on network neuroscience and complex systems, integrating tools from mathematics, physics, and computational biology. Education: PhD in Physics, University of Michigan (2009) Her research explores network organization in brain function, particularly in health and pathological conditions like epilepsy. Key areas include: Development of novel network statistics (e.g., small-world propensity, multilayer analysis) Computational modeling of brain dynamics and state transitions Experimental data analysis across neuronal networks, ECoG, and fMRI Software tools for seizure detection and community structure quantification She leads a multidisciplinary group affiliated with the Computational and Data-Enabled Sciences (CDES) Program and Neuroscience Program at UB. Her work bridges theoretical and applied network science, with recent publications examining brain states, pandemic modeling, and personalized network diagnostics.
Sebastian Michelmann is an Assistant Professor of Psychology at New York University's College of Arts and Science. His research focuses on understanding how temporal dynamic content is neurally represented and processed in episodic memory, with particular emphasis on fast-timescale memory retrieval mechanisms and their interaction with event knowledge. He employs electrophysiological methods (EEG/MEG), computational modeling, and behavioral experiments to study memory formation under naturalistic conditions. Education: PhD in Psychology from the University of Birmingham (2018), thesis awarded the Glushko Dissertation Prize (2020) Master's (Diploma) in Psychology from Julius-Maximilians-Universitaet Wuerzburg (2014) Postdoctoral research at Princeton University (2018–2023) under Professors Ken Norman and Uri Hasson Research interests include neural oscillations, event segmentation, and the role of generalized event knowledge in memory retrieval. His work bridges cognitive neuroscience with computational approaches, exploring how the brain encodes, stores, and retrieves temporally precise information. Key research directions involve studying how memory processes are embedded in continuous experience and developing tools to analyze neural data (e.g., intracranial EEG re-referencing). Recent studies explore event boundary detection using large language models and investigate the neural correlates of natural language comprehension through ECoG datasets. Scientific Awards: Glushko Dissertation Prize (2020) Laboratory activities focus on future projects combining electrophysiology with computational modeling to understand interactive dynamics of episodic memory. Collaborative efforts include developing semi-automatic alignment tools and cloud-based neuroimaging frameworks.
Jon M. Houck is an Associate Professor of Translational Neuroscience at the University of New Mexico and a Research Associate Professor at the Center on Alcoholism, Substance Abuse, and Addictions (CASAA) . His work integrates neuroimaging (MEG, fMRI) with behavioral therapy to study mechanisms of behavior change in substance use disorders and schizophrenia . Dr. Houck has developed MEG-based neuroimaging protocols to investigate motivational interviewing efficacy and neuromodulation for alcohol treatment. Research Interests : Translational neuroscience, neurobiological mechanisms of behavior change, neuroimaging (MEG/fMRI), psychotherapy process research, substance use disorders, schizophrenia, neuromodulation. Publications : 15+ peer-reviewed articles spanning 2015–2024, focusing on motivational interviewing , brain connectivity in schizophrenia, adolescent addiction , and neuroimaging methods . Contributions : Pioneering dynamic functional network connectivity analysis in schizophrenia, client language modeling for addiction treatment outcomes, and test-retest reliability assessments in clinical populations. Affiliation : University of New Mexico, CASAA, with collaborations across neuroimaging , addiction science , and clinical psychology disciplines.
Dr Wei-Ju Chang is an Honorary Lecturer in the School of Health Sciences, College of Health, Medicine and Wellbeing at the University of Newcastle , Australia. He also serves as a visiting Postdoctoral Fellow at Neuroscience Research Australia (NeuRA) and maintains an active clinical role as an APA-titled Musculoskeletal Physiotherapist in private practice in Sydney. Education Doctor of Philosophy, Western Sydney University Master of Orthopaedics, Sports & Manual Physiotherapy, University of South Australia Research Focus Dr Chang’s research integrates advanced neurophysiological techniques to investigate the transition from acute to chronic musculoskeletal pain. His work explores cortical and spinal neuroplasticity, quantitative sensory testing, and the therapeutic potential of non-invasive brain stimulation—particularly repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS)—for conditions such as knee osteoarthritis and low back pain. A complementary line of inquiry examines EEG-based biomarkers, including peak alpha frequency, as predictors and modulators of pain outcomes. Publication Trends Across more than 50 peer-reviewed outputs since 2015, Dr Chang’s articles cluster in three dominant themes: (1) systematic reviews and meta-analyses that synthesize evidence on neuromodulation and quantitative sensory testing; (2) longitudinal cohort studies that identify neurobiological predictors of chronic pain; and (3) interventional pilot RCTs that test adjunctive brain stimulation combined with exercise therapy. His 2024–2025 publications emphasize individualized pain prediction, prophylactic neuromodulation, and mechanistic TMS-EEG studies. Grant Support & Collaborations 2023 : University of Newcastle Pilot Funding Scheme (AUD $4,883) – Lead CI on mechanisms of rTMS-induced analgesia. 2022 : NHMRC Postgraduate Scholarship (AUD $105,437) – Lead CI on neurobiological transition to chronic low back pain. 2022 : CHMW Strategic Research Pilot Grant (AUD $9,783) – Co-I investigating brain biomarkers for chronic postsurgical pain. 2021 : ANZMUSC Seed Funding (AUD $20,000) – Lead CI combining rTMS with exercise in knee osteoarthritis. 2019 : Physiotherapy Research Foundation Seeding Grant (AUD $9,511) – Lead CI exploring neuroplastic mechanisms of quadriceps weakness post-TKR. Laboratory & Team Affiliations Dr Chang is affiliated with the Neuroplasticity and Pain Research Group at the University of Newcastle, led by Prof Siobhan Schabrun. Through NeuRA he collaborates on multimodal imaging and neurophysiology projects, leveraging state-of-the-art TMS-EEG and MR-compatible stimulation platforms.
Lena Ting is Professor and McCamish Foundation Distinguished Chair in Biomedical Engineering at Georgia Institute of Technology's College of Engineering, Coulter Department of Biomedical Engineering, with a secondary appointment in Rehabilitation Medicine at Emory University. She co-directs the Georgia Tech and Emory Neural Engineering Center and leads the Neuromechanics Lab. Her research spans Neuromechanics of movement control Rehabilitation engineering for Parkinson's disease and stroke Computational modeling of sensorimotor systems Human-robot interaction for gait rehabilitation Cortical correlates of balance control She bridges engineering, neuroscience, and physiology to address movement impairments in aging, cerebral palsy, and neurological disorders. Her 15 most recent publications (2024-2025) reveal strong focus on Cortical biomarkers for balance dysfunction Individual-specific gait signatures Neuromechanical modeling of spasticity Non-mechanical human-robot interaction Computational frameworks for sensorimotor control with significant applications in Parkinson's disease, stroke rehabilitation, and cerebral palsy. Scientific recognition includes: McCamish Foundation Distinguished Chair Blue Sky Award for Parkinson's research She directs the Neuromechanics Lab which develops robotic devices, computational models, and AI-driven approaches to personalize rehabilitation. Current projects include physiologically-inspired exoskeleton controllers, gait rehabilitation predictors for stroke survivors, and precise clinical assessment methods. She leads multiple grants including a $15M NSF grant on muscle dynamics and Parkinson's disease research.
Brian J. Song, MD, MPH, FACS is an Assistant Professor of Clinical Ophthalmology at the Keck School of Medicine of the University of Southern California (USC). He serves as the Director of Education and Residency Program Director in the Department of Ophthalmology at USC, as well as the Glaucoma Fellowship Director. Dr. Song is also the telehealth champion and physician quality champion for the USC Roski Eye Institute. Dr. Song specializes in the medical and surgical management of glaucoma, including advanced laser treatments, minimally invasive glaucoma surgery, and cataract surgery. His research interests focus on evaluating new methods to improve glaucoma detection, particularly through telemedicine applications. He is actively working with collaborators to investigate novel approaches for evaluating optic nerve and blood flow abnormalities in glaucoma using advanced ultrasound and vascular imaging techniques. His extensive publication record demonstrates a strong focus on glaucoma diagnostics, imaging technologies, healthcare disparities, and innovative treatment approaches. Recent work has explored AI applications in glaucoma education, ultrasound stimulation of the visual cortex, and teleretinal screening programs for glaucoma detection. Dr. Song has conducted National Institutes of Health-sponsored research evaluating glaucoma detection methods for diabetes patients and has presented his findings nationally and internationally. His scientific contributions include coauthoring the American Glaucoma Society Position Paper on Microinvasive Glaucoma Surgery. Emerging Vision Scientist Award from the National Alliance for Eye and Vision Research Coauthor of American Glaucoma Society Position Paper: Microinvasive Glaucoma Surgery As Director of Education and Residency Program Director, Dr. Song plays a key role in training the next generation of ophthalmologists at USC. His work with telehealth initiatives demonstrates a commitment to expanding access to quality eye care. Dr. Song joined the USC Roski Eye Institute in 2019 after growing up in Houston, TX, and previously working in New Jersey.
Eveline Crone is a Professor of Neurocognitive Developmental Psychology at Leiden University (2009–present) and holds a special appointment as Professor of Neurocognitive and Affective Adolescent Development at the University of Amsterdam (2009–present). She chairs Leiden's Department of Developmental Psychology and founded the Brain and Development Laboratory. Education: Master's (1999) and PhD (2003) from University of Amsterdam Postdoctoral: University of California, Davis (2003–2005) Her research focuses on adolescent brain development, particularly: Cognitive control and decision-making mechanisms Neurocognitive and affective development Risk-taking and social perspective-taking Functional neuroimaging of school-aged children and adolescents Publications from 2004–2012 span neuroscience, developmental psychology, and cognitive science, with sub-fields including longitudinal neuroimaging, reward sensitivity, fairness processing, and social cognition in adolescence. Scientific honors include: Membership in the Royal Netherlands Academy of Arts and Sciences (2013) ERC Starting Grant (2010) National awards (Huibregtsen, Heymans, Ruigrok) Early Career Awards (2011) She has secured over €5 million in competitive grants (NWO, ERC, ESF) and authored two popular science books on adolescent brain development, including Het sociale brein van de puber (2012) and Het puberende brein (2008). Her lab combines academic research with public outreach via media appearances and lectures.
Michal Fereczkowski is an Assistant Professor in the Department of Clinical Research at the University of Southern Denmark's Faculty of Health Sciences, affiliated with the Research unit of Oto Rhino Laryngology at Odense University Hospital (OUH) and Kolding Institute (KI). His work bridges clinical audiology and hearing science with engineering principles to address hearing impairment through advanced diagnostic tools and hearing aid technologies. His research centers on rollover phenomena (speech intelligibility decline at high volumes), cochlear synaptopathy assessment , and auditory profiling for precision rehabilitation. Key focus areas include: Development of the BEAR (Better hEAring Rehabilitation) test battery for individualized hearing deficit characterization Effects of semantic context and cognitive factors on speech perception in noise Optimization of hearing aid fitting strategies for above-conversational speech levels Validation of clinical devices for otoacoustic emissions measurement Analysis of his 32 research outputs reveals a cohesive trajectory toward personalized audiology. His recent publications (2021-2024) consistently address rollover mechanisms and auditory profiling , demonstrating how clinical fitting rationales and semantic context can mitigate intelligibility declines at high speech levels. The BEAR project forms the cornerstone of his work, enabling data-driven hearing aid fittings that account for individual auditory deficits beyond standard audiograms. Dr. Fereczkowski actively supervises PhD candidates including L. Jürgensen (project: "Rollover Effects at Above-Conversational Speech Levels") and M. Wu (project: "Investigating Speech-in-Noise Outcome in older Hearing-Aid Users"). His research is funded through the BEAR initiative, which investigates auditory profile-based hearing aid benefit prediction across diverse noise scenarios and listener characteristics. As a core member of the BEAR project team within OUH's Oto Rhino Laryngology unit, he collaborates with interdisciplinary researchers to translate auditory profiling research into clinical practice, developing tools that integrate physiological, perceptual, and cognitive assessments for comprehensive hearing rehabilitation.
Patrick Dupont is a Full Professor of Brain Imaging at the Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Belgium. He also serves as an Extraordinary Professor in Nuclear Medicine at Stellenbosch University, South Africa. His academic affiliations include membership in the Medical Imaging Research Center (MIRC), Alzheimer Research Centre KU Leuven, and Leuven Brain Institute at KU Leuven. Dupont earned his BSc in Mathematics from University Hasselt (1983), MSc in Mathematics from KU Leuven (1985), and PhD in Physics from KU Leuven (1990). His academic career progressed from Postdoctoral Researcher at KU Leuven (1990-2002), to Associate Professor (2002-2005), Professor at the Department of Medical Diagnostic Sciences (2005-2007), and finally Professor at the Department of Neurosciences (2007-present). Dupont's research focuses on image and data analysis in brain imaging and the analysis of large-scale networks in the brain. His work spans multiple neurological conditions including Alzheimer's disease, epilepsy, neuromuscular disorders, and depression. He employs advanced neuroimaging techniques such as PET, fMRI, and diffusion MRI to investigate brain structure, function, and connectivity. His research has significant clinical applications in diagnosis, treatment monitoring, and understanding disease mechanisms. His recent publications (2023-2025) demonstrate a strong focus on functional brain networks in various conditions including glioma, Alzheimer's disease, depression, and neuromuscular disorders. He frequently employs multimodal imaging approaches combining PET, fMRI, and advanced diffusion MRI techniques. Many studies investigate the relationship between brain network alterations and cognitive outcomes, with particular attention to how treatments like radiation therapy affect brain connectivity. Dupont leads multiple research projects funded through KU Leuven's research portal, including studies on neuromuscular disorders, Alzheimer's disease, and brain imaging techniques. His projects often involve interdisciplinary collaboration across neurology, oncology, psychiatry, and radiology. He directs the Laboratory for Cognitive Neurology at KU Leuven, which focuses on developing and applying advanced neuroimaging techniques to understand brain function in health and disease. The lab collaborates extensively with clinical departments and research centers within KU Leuven and internationally.
Dr Tom Barrick is Reader in Magnetic Resonance Imaging and Head of the Neurological Disorders and Imaging Section within the Neuroscience and Cell Biology Research Institute at City St George's, University of London (formed from the merger of City, University of London and St George's, University of London on August 1, 2024). His research focuses on developing automated image analysis techniques for identifying neuroimaging biomarkers of disease diagnosis and prognosis across multiple conditions. PhD in Medical Imaging, University of Liverpool (1997-2004) MSc in Pure Mathematics (Distinction), University of Liverpool (1996-2004) BSc in Mathematics (First Class Honours), University of Liverpool (1993-1996) Dr Barrick's research concentrates on the development of MR image acquisition and analysis techniques, with particular focus on novel diffusion MRI methods capable of quantifying tissue heterogeneity in the brain. He has developed Quasi-Diffusion Imaging (QDI), a technique based on continuous time random walk models that provides robust quantification of diffusion and tissue heterogeneity with high signal-to-noise ratios from clinically acceptable acquisition times. His work spans applications in brain tumours, dementia, traumatic brain injury, Parkinson's disease, cerebrovascular disease, chronic obstructive pulmonary disease, and other neurological conditions. Dr Barrick's extensive publication record (110 peer-reviewed articles, H-index 38) demonstrates a strong focus on advancing neuroimaging techniques, particularly diffusion MRI and QDI. His research spans multiple disease areas with significant clinical collaborations, especially in cerebrovascular disease and dementia. His work increasingly integrates machine learning to combine information from various imaging biomarkers for improved diagnosis and prognosis assessment. Dr Barrick has published 110 peer-reviewed journal articles with an H-index of 38 (Europe PubMed Central), reflecting substantial scholarly impact in medical imaging and neuroscience. Teaching: Provides lectures on Clinical Neuroscience module (BSc Biomedical Sciences) and supervises research projects for BSc Clinical Pharmacology, BSc Biomedical Sciences, MSc, MRes, and PhD students Funding: Has received active funding from GSK, St George's Hospital Charity, Medical Research Council, Innovate UK, Cancer Research UK, St George's Innovation and Enterprise Award, and Alzheimer's Research UK Research Group: Leads a team including Dr Mohani-Preet Dhillon (Lecturer in Interdisciplinary Education and Research), Mike Mills (MRI physicist), and Ian Storey (Image Analyst) Dr Barrick leads the Neurological Disorders and Imaging Section and collaborates extensively both within City St George's (with neurologists, neurosurgeons, and respiratory specialists) and externally with researchers from institutions including University of Bristol, National Physical Laboratory, Northwestern University, University of Cambridge, and The University of Queensland. He is a founding member of the Anomalous Relaxation and Diffusion Study group, reflecting his specialized expertise in advanced diffusion imaging techniques.
Dr. Kiley Hamlin is a Professor in the Department of Psychology at the University of British Columbia's Faculty of Arts, where she directs the Centre for Infant Cognition. She holds a PhD from Yale University (2010) and an undergraduate degree from the University of Chicago (2005). Her research explores the developmental origins of moral cognition and social evaluation in preverbal infants, examining how early evaluative processes shape understanding of others' actions, mental states, and personalities. Her secondary focus is Social/Personality psychology. Research Interests: Dr. Hamlin investigates foundational aspects of moral reasoning before language development, cultural influence, and complex cognitive abilities emerge. Key areas include: Infant sociomoral evaluation of prosocial/antisocial agents Neural correlates of moral cognition in infancy Cross-cultural development of social preferences Longitudinal links between infant evaluations and preschool adjustment Publications reflect consistent focus on moral development in early childhood, with trends toward large-scale collaborative studies (e.g., ManyBabies consortium) and novel methodologies like remote infant assessments. Awards and Honors: Canada Research Chair (2011-2021) Society for Philosophy and Psychology Stanton Prize (2018) Killam Faculty Research Prize (2015) APS Rising Star Award (2015) APS Janet Taylor Spence Award (2014) Peter Wall Institute Early Career Scholar (2012) International Congress for Infant Studies Dissertation Prize (2012) Leadership: Dr. Hamlin serves on editorial boards for Infancy , Cognitive Development , Child Development Perspectives , and Cognition , and is Communications Chair for the International Congress for Infant Studies. She co-leads the Early Development Research Group, a seven-lab consortium studying language, learning, and social understanding.
