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Mark Liberman is a Trustee Professor at the University of Pennsylvania , holding appointments in the Department of Linguistics and Department of Computer and Information Science . He serves as Director of the Linguistic Data Consortium and Faculty Director of Ware College House . His career spans linguistics, speech technology, and computational methods. Education: Harvard University (1965-1969), MIT (M.S. 1972, Ph.D. 1975) Professional Experience: AT&T Bell Laboratories (1975-1990), University of Pennsylvania (1990-present) His research interests include: Corpus-based Phonetics : Analyzing speech patterns via large-scale datasets. Clinical Applications : Developing speech biomarkers for neurodegenerative diseases. Tonal Phonology : Studying lexical tone and intonation in languages like Yoruba and Mandarin. Formal Annotation Models : Creating frameworks for linguistic data standardization. Recent publications highlight automated speech analysis, cross-linguistic prosody, and digital biomarkers for conditions like ALS-FTD and Alzheimer’s. His collaborations span computational linguistics , neurology , and cognitive science . Scientific awards include the IEEE James L. Flanagan Award (2017), Antonio Zampolli Prize (2010), and fellowships from the AAAS and Linguistic Society of America . He advises PhD students May Chan and Jonathan Him Nok Lee and contributes to editorial boards for journals like Cognition and Annual Review of Linguistics . His work bridges speech science , language technology , and neurocognitive research .

• Corpus-based Phonetics
• Speech and Language Technology
• Clinical Applications of Linguistics
• +6 more

Professor Bernd Möbius is a leading academic in Phonetics and Phonology at the Department of Language Science and Technology, Saarland University. His research bridges phonetic theory with speech technology applications, focusing on text-to-speech systems, prosody modeling, and computational simulations of speech processes. Current research projects: DFG SFB 1102, C1: Information density and phonetic structure predictability DFG SFB 1102, C4: Slavic intercomprehension and surprisal theory (INCOMSLAV) Research Themes: Key areas include text-to-speech synthesis, speech prosody analysis, experimental methods in speech production/perception, information density in phonetics, and cross-linguistic studies of Slavic-Germanic languages. Scientific Contributions: Recent work explores Parkinson-induced dysarthria detection, breath noise acoustics, surprisal-driven speech behaviors, multilingual BERT models for idiomaticity, and perceptual consequences of acoustic adjustments.

• Speech Technology
• Phonetics
• Phonology
• +8 more

Dr. Melanie Franklin is a pediatric psychologist at Children's Hospital of Philadelphia with expertise in sleep disorders, treatment adherence, and pediatric psychology. She operates within the Department of Child and Adolescent Psychiatry and Behavioral Sciences and collaborates across multiple teams. BA in Psychology – Muhlenberg College PhD in School Psychology – Lehigh University Residency and Fellowship in Pediatric Psychology – Nemours/A.I. DuPont Children’s Hospital Her research focuses on: Sleep behavior in chronic illness populations Mental health communication barriers ADHD functional outcomes Treatment adherence strategies Recent publications demonstrate expertise in ADHD comorbidities , Cystic Fibrosis sleep interventions , and academic functioning analysis . Key collaborations include: Psychiatry and Behavioral Sciences Sleep Center Pulmonary and Sleep Medicine Division

• Sleep
• Treatment Adherence
• Pediatric Psychology
• +2 more

LEONG Tze Yun is a Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). She holds S.B., S.M., and Ph.D. degrees in Computer Science from the Massachusetts Institute of Technology (MIT). Her academic career spans both research and industry experience, with significant contributions to the fields of artificial intelligence and health informatics. Dr. Leong's educational background includes: Ph.D. in Electrical Engineering & Computer Science, Massachusetts Institute of Technology S.M. in Electrical Engineering & Computer Science, Massachusetts Institute of Technology S.B. in Computer Science & Engineering, Massachusetts Institute of Technology Her primary research interests focus on responsible AI, dynamic decision-making, neurocognitive modeling, reinforcement learning, artificial general intelligence, and biomedical and health informatics. Her work bridges the gap between theoretical AI development and practical healthcare applications, with an emphasis on ethical considerations and human-centered design. She directs the Medical Computing Laboratory at NUS, a multidisciplinary research program exploring human-aware decision modeling in complex environments. Analysis of her recent publications reveals a strong trend toward responsible AI development, with significant contributions to reinforcement learning techniques, causal inference methods, and applications of AI in healthcare. Her work increasingly integrates ethical considerations with technical AI development, particularly evident in her 2024 publications on medical AI and human values. Her scientific recognition includes: Fellow of the American College of Medical Informatics (ACMI) Founding Fellow of the International Academy of Health Sciences Informatics (IAHSI) Member of Eta Kappa Nu (Honor Society for Electrical Engineers) Dr. Leong has supervised numerous doctoral and master's students throughout her career, many of whom have gone on to prominent positions at institutions like Google, Netflix, Mayo Clinic, and academic institutions worldwide. Her advisory work extends to significant policy development, including contributions to WHO guidance on ethics and governance of AI for health. She currently serves on the World Health Organization (WHO) Expert Group on Ethics and Governance of AI for Health, the World Economic Forum (WEF) AI Governance Alliance, and the Advisory Council on AI in Uzbekistan. Her laboratory work focuses on developing adaptive systems that evolve with changing technical functionalities, system infrastructures, usage patterns, and operational contexts, with applications spanning prediction and decision analytics, human-aware robotics, game artificial intelligence, personalized education, and assistive care for elderly with neurocognitive disorders.

• Responsible AI
• Dynamic Decision-Making
• Neurocognitive Modeling
• +3 more

Pasquale Bottalico serves as Associate Professor in the Department of Speech and Hearing Science at the University of Illinois, with dual appointments as Associate Professor at the Center for Latin American and Caribbean Studies and Affiliate Faculty in the School of Music. His unique interdisciplinary profile bridges engineering, music performance, and speech science, reflecting his dual academic training and professional artistry. His educational foundation includes: Bachelor's in Telecommunications Engineering from Univeristà Mediterranea di Reggio Calabria, Italy Concurrent Opera Singing degree from F. Cilea Music Academy, Reggio Calabria Master's in Telecommunications Engineering from Politecnico di Torino, Italy Ph.D. in Metrology specializing in acoustics measurement uncertainty and classroom acoustics Dr. Bottalico's research centers on vocal load quantification and professional voice techniques , with significant contributions to understanding vocal fatigue in teachers and singers. His work spans Speech Intelligibility in educational environments, Room Acoustics for performance and learning spaces, and Musical Acoustics of historical vocal styles. A distinctive thread throughout his research examines how acoustic conditions modulate voice production and perception, increasingly incorporating virtual reality and bone conduction technologies for innovative assessment and intervention approaches. His Colombian vocal health study demonstrates cross-cultural applications of his work. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) The impact of noise and dysphonia on children's speech processing in educational settings, using multimodal assessment including EEG; (2) Virtual reality applications for voice production research and therapeutic intervention; (3) Cross-cultural validation of vocal fatigue metrics and development of biofeedback systems. His work consistently bridges engineering precision with clinical applicability, particularly for professional voice users in challenging acoustic environments. No scientific awards were documented in the available information. While specific advising relationships aren't detailed, his research collaborations span international institutions including Colombian and Italian universities, suggesting graduate mentorship in interdisciplinary projects. No grant information was provided, though his systematic reviews and cross-cultural studies imply externally funded research activities. Though no dedicated laboratory is specified, his virtual reality voice studies and acoustic parameter assessments suggest affiliations with audio engineering facilities and voice clinics, likely through the Speech and Hearing Science department's research infrastructure.

• Vocal Load
• Professional Voice Techniques
• Singer Techniques
• +3 more

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.

• Decision Making
• Neuroeconomics
• Cognitive Neuroscience
• +2 more

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

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

Dr. Birgit Frauscher is the Lincoln Financial Group Distinguished Professor in Neurobiology at Duke University School of Medicine, where she serves as Professor of Neurology and holds a secondary appointment in the Department of Biomedical Engineering at the Duke Pratt School of Engineering. She is currently the Director of the Duke Comprehensive Epilepsy Center and leads the Analytical Neurophysiology (ANPHY) Lab. Her clinical and research work focuses on epilepsy and sleep medicine, utilizing both invasive and non-invasive electrical recordings to study brain activity in humans. Dr. Frauscher completed her medical training, neurology residency, and subspecialty training in electroencephalography, epilepsy, and sleep medicine at the Medical University of Innsbruck in Austria. After completing her clinical training in 2008, she earned her habilitation degree in 2011. She further specialized in intracranial EEG and signal analysis during a visiting professorship at the Montreal Neurological Institute and Hospital, McGill University (2013-2015), where she later served as an Attending Epileptologist and Group Leader of Epilepsy. Her research interests focus on developing novel seizure-independent EEG markers for the epileptogenic zone, investigating sleep-epilepsy interactions, and using intracranial EEG to study brain physiology during wakefulness and sleep. Her work aims to improve epilepsy diagnosis, prognosis, and treatment outcomes by better localizing the epileptic focus. Dr. Frauscher's recent publications demonstrate her continued leadership in epilepsy research, with over 170 peer-reviewed papers and an H-index of 62. Dr. Frauscher has received several prestigious awards including the Clinician-Scientist awards of the FRSQ (2018-2023), the Michael Prize of the International League against Epilepsy (2019), and the Ernst Niedermeyer Prize from the Austrian Epilepsy Society (2015). Her scholarly work has significantly advanced clinical knowledge in epilepsy and sleep medicine, establishing her as a leading figure in the field. As Director of the Duke Comprehensive Epilepsy Center and head of the ANPHY lab, Dr. Frauscher oversees a research program dedicated to advancing neuroscience through innovative approaches to studying brain activity. Her lab employs quantifiable tools to investigate neurophysiological and pathological processes related to epilepsy and sleep, with the ultimate goal of improving patient outcomes through better understanding of brain function.

• Epilepsy
• Sleep Medicine
• Electroencephalography
• +4 more

Prof. Albert Postma is a full professor in Experimental Psychology (Clinical Neuropsychology) at Utrecht University. He holds the chair in Clinical Neuropsychology and has served as department head of Experimental Psychology (2010–2017) and later as head of the Psychology Department (FSW, UU). His research focuses on spatial cognition, memory disorders, and sensory impairments, with notable contributions to understanding spatial navigation in neurological patients and the neurocognitive basis of spatial memory. Education: PhD in Psychology (1991, University of Nijmegen). Affiliations: Director of the Memory & Space Lab; Head of Research Committee at Korsakov Centrum Slingedael; Editorial roles in Cognitive Processing and Acta Psychologica . Research Interests: Spatial cognition, neuropsychology of memory (episodic, prospective), sensory deprivation effects (blindness/deafness), and neuroimaging studies of spatial processing. Key projects include EU-funded studies on spatial memory and the NWO Pioneer grant on spatial cognition development. Grants & Awards: Multiple EU Marie Curie grants, NWO Pioneer Grant (2000–2007), and coordination of the EU NEST Fp6 program on spatial orientation. His work emphasizes translational research in clinical settings, such as Korsakoff syndrome interventions. Labs & Teams: Leads the Memory & Space Lab, collaborating internationally on spatial cognition and neurological rehabilitation. Active in multidisciplinary initiatives like the Dynamics of Youth (DoY) research theme.

• Spatial Cognition
• Neuropsychology
• Human Memory
• +4 more

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.

• Emotion Regulation
• Psychology
• Neuroscience
• +6 more

Rotem Karni, PhD, is an Associate Professor of Genetics at the Perelman School of Medicine, University of Pennsylvania, Philadelphia. He leads a research lab focused on understanding how alternative RNA splicing contributes to cancer and genetic diseases, with a strong emphasis on translating these findings into RNA-based therapies. Karni's lab develops decoy oligonucleotides, small molecules, and splice-switching technologies to modulate splicing factors and enhance immunotherapy. Education BSc in Biological Chemistry from The Hebrew University of Jerusalem (1997) PhD in Biological Chemistry from The Hebrew University of Jerusalem, Israel (2002) Postdoctoral Fellowship at Cold Spring Harbor Laboratory, NY (2002-2007) Karni's research explores the deregulation of alternative splicing in oncogenesis, particularly how splicing factors like RBFOX2 and S6K1 influence metastasis, DNA repair, and immune checkpoint modulation. His team investigates m6A RNA modifications for stabilizing mutant genes, with applications in Duchenne Muscular Dystrophy and pancreatic cancer. The lab's work is commercialized through biotech companies: SKIP Therapeutics, Andlit Therapeutics, and RNAble. Selected Research Trends RNA mis-splicing and neoantigen generation (2025) Splicing factor inhibition for tumor suppression (2023) Metastatic splicing signatures in pancreatic cancer (2023) Immune checkpoint splicing in cancer immunotherapy (2021) m6A modulation for mRNA stabilization (2023) Advising & Collaborations Karni has mentored numerous PhD and postdoctoral researchers, many of whom now hold leadership roles in academia, biotech, and medical institutions globally. His lab collaborates extensively on projects involving RNA innovation, including partnerships with the Institute for RNA Innovation. Contact Department of Genetics & Institute for RNA Innovation, One uCity Square, Room 4018, Philadelphia, PA 19104 Phone: 215-898-5072 Email: Rotem.Karni@Upenn.edu

• Alternative RNA Splicing
• RNA Biology
• Cancer Therapy
• +4 more

Heping Zhang is the Susan Dwight Bliss Professor of Biostatistics at the Yale School of Public Health , with secondary appointments in the Child Study Center , Department of Statistics and Data Science , and Department of Obstetrics, Gynecology, and Reproductive Sciences . He directs the Collaborative Center for Statistics in Science (C²S²) and leads the Reproductive Medicine Network data coordinating center. Education: PhD in Statistics, Stanford University (1991) Postdoctoral Fellow, Mathematical Science Research Institute (1991) Research Focus : Zhang specializes in biostatistical methodology for genomic data analysis , clinical trials , and reproductive medicine . His work bridges genetics , mental health , and maternal-child health through innovative statistical approaches. Awards : 2023 Web of Science Highly Cited Researcher 2023 International Chinese Statistical Association Distinguished Achievement Award 2022 Institute of Mathematical Statistics Neyman Award and Lecture 2011 Royan Institute International Research Award 2011 Institute of Mathematical Statistics Medallion Award 2008 Harvard School of Public Health Myrto Lefokopoulou Distinguished Lecturer Professional Roles : He served as President of the International Chinese Statistical Association (2019) and Former Editor of the Journal of the American Statistical Association - Applications and Case Studies . His lab develops open-source software tools like ABESS , STREE , and modSaRa for genomic and clinical data analysis.

• Biostatistics
• Genetics
• Maternal & Child Health
• +4 more

Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.

• Nuclear Magnetic Resonance (NMR)
• In vivo imaging
• MRI pulse sequence development
• +7 more

KEMAL OZAN LÜLE is an Assistant Professor at Gaziantep University, Faculty of Medicine, Department of Internal Medicine , with an email contact at ozan@gantep.edu.tr . He holds an ORCID identifier and is registered in the YÖK Academic Information System. Education: Medical License from Dokuz Eylül University (2009–2016), Medical Specialization from Gaziantep University (2017–2021). Professional Experience: Specialist at Gaziantep Abdulkadir Yuksel State Hospital (2021–2024), General Practitioner at Arapgir Ali Özge State Hospital (2016–2017). Administrative Roles: Member of Measurement and Evaluation Board (2024), Internal Medicine Internship Education Coordinator (2024), English Medicine Assistant Coordinator (2024). His research focuses on Internal Medicine , with emphasis on Diabetes , Fatty Liver Disease , Neurocognitive Effects of diabetes treatments, Cancer Development linked to food preparation, Irritable Bowel Syndrome , and Adrenal Incidentaloma . Book Chapters: Development and Natural Course of Diabetic Fatty Liver Disease (2025), Effects of Pharmacological Agents on Neurological Functions (2023), Food Preparation Methods and Cancer (2023). He has co-authored multiple proceedings papers on topics including Temporal Arthritis , Lymphoma , Behçet’s Disease , and Fahr Syndrome , presented at national and international conferences.

• Internal Medicine
• Endocrinology
• Gastroenterology
• +6 more

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.

• Cognitive Neuroscience
• Visual Neuroscience
• Social Perception
• +4 more