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Teea (Teodora) Gliga is a Professor at the University of East Anglia (UEA), Norwich, where she leads the Gliga Lab. She formerly led the Infant Siblings Study at the Centre for Brain and Cognitive Development (CBCD), Birkbeck, University of London (UK). She co-led the managemnet board of the autism research network British Autism Study of Infant Siblings (BASIS). Her research examines early developmental pathways to autism and ADHD, and how infants’ attention, curiosity, social touch, and language learning shape cognitive development. She kindly contributed UK screen-based eye-tracking data from the BASIS project. Teea brings a strong theoretical perspective to autism research data, with particular strengths in building models and interpreting data visualizations in depth!
Valentina is a the Head of the MEDEA BabyLab – Autism Area at IRCCS Eugenio Medea (Italy), and Adjunt Prof. at San Raffaelle University. She uses innovative, experimental techniques (EEG, eye-tracking) for studying brain and behavior in the first years of life. She investigates early behavioral and neural markers of autism, with particular emphasis on (multi)sensory integration as a predictor of language. She has an exceptional autism network (NIDA network – Italian Network for early identification of Autism Spectrum Disorder)and unique expertise in developmental psychology, autism, genetics, and clinical practice. Valentina generously contributed a large dataset of screen-based eye-tracking data from the MEDEA Autism Babylab. She amazingly brings together autism research with families and clinicians!
Charlotte is a researcher at Uppsala University and a team member of the Development and Neurodiversity Lab (DiVE Lab). Her research is focused on early social and communicative development, as well as early signs of autism. She also works in behavioral genetics, where she explores the influence of genes and environment on early development. Charlotte is highly skilled in very complex statistical analysis and eye-tracking preprocessing, both live and screen-based!
Ania is a neuropsychologist and Associate Professor at the University of Warsaw (Faculty of Physics, Biomedical Physics Division). Her work focuses on EEG-based studies of executive control, brain–computer interfaces, and disorders of consciousness. She currently leads two projects on coma and disorders of consciousness, developing new prognostic and diagnostic indicators based on EEG and MRI, to improve the assessment and communication for patients with impaired consciousness. She has also co-led research into early neural markers of language development in monolingual and Polish-Norwegian bilingual toddlers. Ania excels at analysing all kinds of signals and truly enjoys it!
Elena is a PhD candidate at the University of Pavia (Department of Brain and Behavioral Sciences), and a Speech Therapist and Psychologist in the MEDEA BabyLab -Autism at IRCCS Eugenio Medea (Italy). She investigates early social attention, parent–infant interaction and language development in infant siblings, as well as infants with other neurodevelopmental conditions. In her longitudinal work, she uses eye-tracking, EEG, and EEG hyperscanning to link dyadic co-regulation and sensory/attention profiles with later language and clinical outcomes. Elena is highly skilled in complex eye-tracking and EEG data analysis, contributing a sharp experimental lens to the project!
PI of SONATINA "See Me Talk". Her research focuses on uncovering the earliest behavioural and neural markers and mechanisms of language development in neurotypical infants and infants with a family history of autism - infant sibs. Through longitudinal eye-tracking and EEG studies, she examines how early perceptual and attentional processes support language development across the first two years of life. Her work addresses audiovisual speech processing in infancy, early neural and behavioural markers of word learning in toddlerhood, and early markers that may act as sex-specific protective and risk factors for language development in infant sibs. Her long-term goal is to generate translational evidence that informs early identification and intervention strategies, supporting autistic children and their families.