Brigitte Charlier is a researcher affiliated with the Université libre de Bruxelles , active in the Language, Cognition, Development (LC-LD) lab under the CRCN research center. Her work focuses on multimodal language perception and hearing disabilities, particularly in deaf children with cochlear implants and cued speech interventions. Key research themes: cochlear implant speech processing, bilingual speech production, cued speech applications Collaborates with Cécile Colin and other speech-language therapy experts Her recent publications examine speech accuracy in bilingual children, short-term memory dimensions in implant users, and reading comprehension interventions. While no formal awards are documented, her research has been presented at major conferences like the European Speech and Language Therapy Association Congress. Students supervised include Van der Straten Waillet, P. , whose dissertation investigated bilingual speech therapy practices. Charlier's lab (LC-LD) investigates language development in deaf populations, with multidisciplinary projects involving speech acoustics, neuroimaging, and educational interventions.
Jan Wouters is a Full Professor at KU Leuven's Faculty of Medicine within the Department of Neurosciences, where he serves as Head of Hearing Research and is an active member of the KU Leuven Brain Institute. His academic career spans multiple leadership roles including membership on the Council of the Faculty of Medicine and the Council of the Department of Neurosciences, as well as participation in the POC Logopedie en audiologie committee. Professor Wouters' research focuses on auditory neuroscience with particular emphasis on cochlear implants, speech perception mechanisms, and developmental dyslexia. His work investigates how children with typical hearing and those using cochlear implants process speech in noisy environments, examines spatial hearing capabilities with bilateral implants, and explores neural processing differences in children at risk for dyslexia. His laboratory employs advanced techniques including electroencephalography (EEG) to measure auditory steady-state responses and develop objective fitting methods for cochlear implants. Analysis of his recent publications reveals a strong interdisciplinary approach combining audiology, neuroscience, and educational psychology. His research shows consistent focus on translating neural measurements into clinical applications, particularly for pediatric populations. A notable trend is the development of novel assessment tools like the LIST-k for children's speech perception and the digit triplet test for school hearing screening, demonstrating his commitment to practical clinical solutions. Professor Wouters actively supervises doctoral students and leads multiple significant research projects including 'Precision Electrode Neural Interface for Cochlear Implants' (2025-2029), 'Capturing early heterogeneity in dyslexia' (2024-2028), and 'Spatial hearing and bilateral cochlear implants' (2024-2028). His research group, the Experimental Oto-rhino-laryngology Research Group, operates from the ON2 Herestraat facility in Leuven and collaborates extensively with clinical and engineering departments across the university.
Mitchell Day is an Associate Professor in the Department of Biological Sciences at Ohio University's College of Arts and Sciences. He is based in the Life Sciences Building and is a member of the Quantitative Biology Institute. His research integrates neurophysiology, psychophysics, and computational modeling to study how the brain processes auditory information, particularly sound localization and binaural hearing. Ph.D., Neural Science, New York University B.S., Physics and Mathematics, University of Iowa Dr. Day's research focuses on sensory coding , particularly how neurons in the auditory system encode spatial information through spike trains. His lab investigates binaural hearing , which allows humans and animals to localize sounds and separate sources in complex environments. Using neurophysiological recordings from the medial superior olive and inferior colliculus , combined with psychophysical testing and computational models, his work explores how factors like sound level, frequency, and noise-induced hearing loss affect neural coding of sound location. His recent publications reveal a strong emphasis on neural population coding , sound source separation , and the impact of hearing loss on binaural processing . Themes across his work include the robustness of auditory representations, cue integration in space perception, and the neural mechanisms underlying auditory scene analysis. His research often employs rabbit models and examines both peripheral and central auditory pathways. Scientific contributions include key insights into: How hearing loss degrades sensitivity to interaural time differences Frequency-dependent dominance of localization cues in the inferior colliculus Neural decoding of concurrent sound sources Role of subthreshold potassium dynamics in temporal coding precision Dr. Day teaches courses in physiology, human physiology, and neuroscience at both undergraduate and graduate levels. He leads an active research lab investigating auditory processing and trains students in electrophysiological techniques, data analysis, and computational neuroscience. While specific grants and awards are not listed, his sustained publication record in high-impact journals indicates active funding and scholarly engagement. His lab is located in Life Sciences Building 220, and he collaborates with researchers at institutions including Harvard Medical School and Massachusetts Eye and Ear.
Dr. Michael Tangermann is an Associate Professor at Radboud University and Principal Investigator at the Donders Institute for Brain, Cognition and Behaviour. He leads the Data-Driven NeuroTechnology Lab, focusing on developing machine learning algorithms for neural and behavioral data analysis. His work integrates brain-computer interfaces (BCI), closed-loop neurotechnologies, and deep brain stimulation (DBS) to address clinical and non-clinical challenges. Education: PhD in Computer Science (2007, University of Tübingen) and Diplom in Computer Science (2000, University of Tübingen). Former positions include Head of the Brain State Decoding Lab (University of Freiburg, 2013–2020) and Substitute Professor for Autonomous Intelligent Systems (2019–2020). Research interests span machine learning for time-series analysis, neurotechnological applications (e.g., BCI for communication/rehabilitation, adaptive DBS), and translational neuroscience. His lab collaborates with institutions like the University Medical Center Freiburg and MindAffect. Publications (H-index: 40) emphasize decoding brain states, optimizing BCI paradigms, and developing open-source tools like the Dareplane platform. Teaching includes advanced BCI courses and digital signal processing at the graduate level.
Dr. Jamie Moffatt is a Postdoctoral Researcher at Royal Holloway, University of London, affiliated with the Lab of Action & Body. His research focuses on understanding dissociation—distressing experiences of detachment from self or reality—through cognitive experiments involving bodily signals and multisensory integration. He explores how internal bodily sensations (e.g., heartbeats) and temporal pairing of sensory inputs (e.g., visual-touch stimuli) contribute to dissociative phenomena. Education: PhD in Psychology (2018–2022), University of Sussex: Investigated mechanisms of dissociation using mixed-methods during the pandemic. MSci in Psychology & Psychological Research (2012–2016), University of Birmingham. Research Interests Dr. Moffatt’s work bridges cognitive psychology, neuroscience, and clinical practice. Key areas include: - Dissociation etiology and experimental induction - Multisensory integration deficits - Body perception and interoception - Anomalous experiences in mental health Grants & Projects Principal Investigator (PI) of the ESRC-funded project Using Virtual Reality to investigate the sense of self (2024–2025), collaborating with Mentor Mel Slater. This project employs VR to study self-perception through sensory manipulations. Labs & Teams Active in the Lab of Action & Body, focusing on experimental paradigms linking bodily signals to psychological states.
Junchul Kim is an Associate Professor at the University of Toronto with primary appointment in the Psychology Department and cross-appointment in Cell and Systems Biology. His research focuses on elucidating hippocampal circuits and GABA interneuron functions in anxiety, stress, and memory processes using optogenetic and chemogenetic approaches. PhD in Molecular Biology and Biochemistry, Simon Fraser University (2005) Postdoctoral Research Fellow, Harvard Medical School (2005-2010) Kim's laboratory investigates two major areas: (1) Functional specialization of hippocampal pathways in emotional and cognitive control, and (2) Distinct roles of PV- and CCK-GABA interneuron subtypes in neural oscillations and behavioral modulation. His work has produced significant insights into hippocampal-prefrontal connectivity and anxiety-related circuitry. Key methodological contributions include developing recombinase-based genetic tools for noninvasive neuron labeling and silencing. Current research explores how specific neural circuits coordinate defensive responses and maintain memory stability across behavioral contexts. The Kim Lab actively trains graduate students in neuroscience research and offers opportunities for postdoctoral fellows. Current students include Cindy Hong, Kendall Mar, Andrew Cheon, Ruth Tran, Stephanie Shishis, and Charlotte Romain, while lab alumni feature notable researchers like Afif Aqrabawi and Paul Whissell.
Dr. Julie Kirkby is a Senior Lecturer in the Department of Psychology at Bournemouth University, where she has worked since 2010. Her research focuses on cognitive psychology, particularly eye movements, reading, visual cognition, and developmental dyslexia. PhD in Binocular Coordination and Dyslexia (2009) Her work uses eye-tracking to study the relationship between orthographic processing, phonological decoding, and reading efficiency in children with dyslexia. She has explored how assistive technologies (e.g., increased letter spacing) can improve reading accessibility and investigated the role of working memory in classroom copying tasks. Recent publications analyze parafoveal processing, auditory distraction during reading, and machine learning applications for eye-tracking data. Collaborations include Microsoft's Advanced Reading Technologies team, and her research has been featured in outlets like The Conversation and EdSurge. 2025: Published on transposed-letter effects and auditory inhibition in dyslexic reading 2024: Investigated bimodal learning and vertical drift correction algorithms 2023: Studied saccade planning and machine learning models for eye-tracking 2022: Analyzed return-sweep saccades and parafoveal processing Dr. Kirkby supervises PhD students and has contributed to public engagement through workshops and media appearances. Her research integrates psychology, education, and technology to address literacy challenges.
Dr. Li-Ann Leow is a Research Fellow at the Centre for Sensorimotor Performance , affiliated with the School of Psychology in the Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland . She holds a PhD in Motor Learning and Parkinson's Disease from the University of Western Australia, and has held postdoctoral positions at the Brain and Mind Institute (Western University) and the University of Queensland. Research Interests : Mechanisms of sensorimotor adaptation Dopamine's role in motor learning Neurostimulation techniques (tDCS) Rhythm perception and movement disorders Implicit vs explicit learning processes Motor rehabilitation in stroke and Parkinson's Article Trends show focus on neural plasticity , auditory-motor integration , and dopaminergic modulation of motor skills. Her 2025 works highlight error-driven memory consolidation and auditory cueing effects . She explores how brain stimulation reliability affects procedural learning and decision-making in both healthy and clinical populations. Scientific Awards : Honorary Fellow, School of Psychology, University of Queensland Advisory Activities : Available for supervision in motor learning and reward-based movement research Completed supervision of projects on stroke rehabilitation and implicit motor learning
Wilson Truccolo is the Pablo J. Salame Goldman Sachs Associate Professor of Computational Neuroscience at Brown University's Carney Institute for Brain Science. His research focuses on understanding how human brain function emerges from collective neural dynamics and how neurological disorders like epilepsy result when these dynamics become pathological. He studies neural activity at multiple scales, from single neurons to large-scale brain networks. Truccolo's research interests center on collective neural dynamics, computational neuroscience, epilepsy, neuroengineering, statistical neuroscience, and theoretical neuroscience. His work integrates advanced computational methods with experimental neuroscience to model and understand brain function and dysfunction. He particularly investigates how neural networks generate normal brain activity and how this activity becomes pathological during epileptic seizures. His recent publications demonstrate a strong focus on seizure dynamics, neural network modeling, and brain-computer interfaces. His research shows consistent emphasis on understanding the computational principles underlying neural activity, with applications to both fundamental neuroscience and clinical problems like epilepsy. His work frequently involves collaboration with clinical researchers to translate computational findings into potential therapeutic approaches. Truccolo has received significant research funding, including an NIH NINDS R01 grant as Principal Investigator. His research has been published in high-impact journals including Nature Scientific Reports, PLoS Computational Biology, The Lancet Neurology, and Nature Communications. He teaches NEUR 2110 - Statistical Neuroscience at Brown University, reflecting his expertise in quantitative approaches to understanding brain function. His research program involves developing sophisticated computational models to analyze neural data across multiple spatial and temporal scales.
Jacqueline (Turcios) Brown is an Assistant Professor and Director of the Speech-Language Pathology Program at the University of New Haven. She also serves as a Clinical Anatomy Instructor for the Physician Associate Medicine program within the School of Health Sciences. Ed.D. in Educational Leadership (2023) M.S. in Speech-Language Pathology (2018) M.A. in Communication Disorders (2015) B.S. in Communication Disorders (2014) Her research focuses on motor speech disorders and swallowing disorders , with clinical experience in both pediatric and adult settings. She has worked in public schools, neurological outpatient clinics, and acute rehabilitation units, emphasizing interdisciplinary care and evidence-based practices. Jacqui’s publications address speech perception , audiovisual integration , and neurodevelopmental disorders , particularly in children with autism. Her work explores the intersection of sensory processing, speech discrimination, and behavioral outcomes. She teaches courses such as Neurogenic Language Disorders, Autism Spectrum Disorders, and Anatomy and Physiology of the Speech Mechanism.
Christopher R. Cederroth is an Associate Professor and Senior Researcher at the Karolinska Institutet, Department of Physiology and Pharmacology. He leads the Translational Auditory Neuroscience research group, which focuses on understanding the mechanisms of hearing loss and tinnitus to develop preventive and curative strategies. His research employs a dual approach using animal models and human genetics to identify therapeutic targets. Research Interests: Molecular Mechanisms: Synaptic decoupling in the ear and homeostatic plasticity in the brain during tinnitus. Translational Auditory Neuroscience: Bridging basic research with clinical applications for hearing disorders. Genetic Epidemiology: Identifying genetic risk factors for tinnitus and hearing loss through GWAS and family studies. Neuroimaging & Electrophysiology: Characterizing neural signatures of tinnitus severity and auditory processing deficits. His recent publications (2021–2025) demonstrate a strong focus on large-scale genomic studies (e.g., GBD collaborations), innovative therapeutic approaches (e.g., cochlear gene therapy), and neurophysiological characterization of tinnitus. Trends include leveraging global health datasets, advancing gene-editing techniques for hearing restoration, and exploring cortical/subcortical biomarkers for auditory pathologies. Labs and Teams: Heads the Translational Auditory Neuroscience group at Karolinska Institutet, fostering collaborations with clinical researchers and industry partners to accelerate drug development for hearing disorders.
Dr. Ning Ma is a Lecturer in Medical Computing at the Department of Computer Science , University of Sheffield, with a dual appointment as an Academic Directorate of Medical Imaging and Medical Physics at the Sheffield Teaching Hospitals NHS Foundation Trust. He holds a PhD in hearing-inspired automatic speech processing from the University of Sheffield and earned his first degree in Computer Science from South China University of Technology. Member of Pervasive Computing and Speech and Hearing research groups Research Theme Co-Director for Healthcare Data/AI at the Insigneo Institute His research focuses on speech and hearing technologies applied to healthcare , particularly in developing AI systems for acoustic monitoring of sleep-disordered breathing and respiratory diseases . He pioneers methods for interpreting sounds and low-cost sensor data to screen conditions like obstructive sleep apnea and tuberculosis through multimodal machine learning . His recent work explores music AI and its intersection with mental health. Dr. Ma has led grants totaling over £500,000 from UKRI, MRC, EPSRC, and Innovate UK, including projects like AI-Enabled Cough Sound Analysis for TB Screening and SOMNUS: Sleep Monitoring by Unobtrusive Sensors . He serves on the Technical Programme Committee for INTERSPEECH and reviews for journals and funders. He is a member of the British Sleep Society , British Thoracic Society , and IEEE . His publications (over 60 peer-reviewed papers) explore topics such as deep learning for sleep apnea screening , binaural sound localization , and noise-robust speech recognition . Notable collaborations include work with Guy Brown on home-based OSA detection and with Tu Zhen on hearing aid optimization using differentiable hearing loss models.
Professor Hubert H Lim is a leading researcher in the Department of Otolaryngology at the University of Minnesota , where he also serves as Director of the Earl E. Bakken Medical Device Center within the Institute for Engineering in Medicine . His work bridges auditory neuroscience and bioelectronic medicine with a focus on neuromodulation , ultrasound technology , and machine learning applications. Research interests include: Tinnitus treatment via multimodal sensory stimulation Autonomic neuromodulation for cardiovascular control Development of auditory nerve implants Ultrasound-triggered drug delivery systems Deep learning in clinical decision-making Preclinical models for medical device testing Recent publications highlight innovations in gold-shell hydrogels , closed-loop vagus nerve stimulation , and feline models for auditory implants. His work extensively involves clinical trials for tinnitus therapy and in vitro platforms for cellular neuromodulation. Collaborative grants include projects funded by the National Institutes of Health , American Heart Association , and 3M , focusing on neural recording , regulatory approval for implants, and non-invasive neuromodulation . Media coverage (2020) highlights his novel tinnitus treatment featured in 27 news outlets.
Mikko Sams is a Senior Advisor and Researcher at the Department of Neuroscience and Biomedical Engineering , Aalto University. His work bridges cognitive neuroscience, psychology, and multisensory processing, with a focus on emotion, empathy, and audiovisual integration. Research Themes: Emotion mapping, social cognition, brain synchronization during naturalistic stimuli, empathy mechanisms, and cultural influences on perception. Methodologies: fMRI, MEG, ERP, and behavioral studies using films, narratives, and music as stimuli. Recent publications highlight his exploration of emotional valence across cultures, political polarization in neural responses, and body maps of emotions . Sams investigates how audiovisual speech perception and social interaction modulate brain activity, often collaborating with interdisciplinary teams. His work extends to design science , examining empathy in human-technology interaction, and cognitive disorders , analyzing neural patterns in autism and psychosis. Despite extensive collaborations, no formal student list or awards are explicitly mentioned in the data. The research emphasizes functional connectivity , intersubject synchronization , and neuroplasticity in both healthy and clinical populations.
Ana Rita Batista is an academic researcher affiliated with UMass Chan Medical School, where she serves as an Instructor in the Department of Neurology at the T.H. Chan School of Medicine. She is also associated with the NeuroNexus Institute within the same institution. Her research focuses on gene therapy applications for neurogenetic disorders. Batista earned a Master of Science (MSc) in Biochemistry and a Doctor of Philosophy (PhD) in Biomedical Sciences from the University of Porto, Portugal. These credentials establish her foundation in molecular mechanisms and biomedical research. Research Interests: Gene therapy, neurology, molecular biology, neurodegenerative diseases, AAV vectors, and therapeutic development Publication Trends: Over the past decade, Batista has contributed to advancing adeno-associated virus (AAV) gene therapy for neurological conditions. Her work spans neurogenetic disorders (Huntington's disease, Tay-Sachs, GM1 gangliosidosis), focusing on vector delivery, therapeutic monitoring, and safety profiles. Collaborations: Batista has worked extensively with Dr. Miguel Sena-Esteves, Dr. Terence Flotte, and Dr. Heather Gray-Edwards. Her publications often appear in journals related to molecular therapy, human gene therapy, and neurogenetics. Techniques: Her research utilizes advanced methodologies including focused ultrasound for blood-brain barrier disruption, real-time MR tracking of gene therapies, and in vivo gene editing approaches in murine and feline models.
