Academic Profile : Faculty

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Assoc Prof Victoria Leong Vik Ee
Associate Professor, School of Social Sciences
Associate Professor, Lee Kong Chian School of Medicine (Courtesy Appointment)
A/Prof Victoria Leong is a developmental cognitive neuroscientist who is interested in how parents and infants communicate and learn from each other. She is a pioneer in the use of dyadic-EEG to study parent-infant neural synchrony during social interactions.

Vicky is currently Associate Professor of Psychology at Nanyang Technological University (Singapore), and also Deputy Director of the Cambridge-NTU Centre for Lifelong Individualised Learning (CLIC) which aims to develop neuropersonalised training programes for flexible learning across the lifespan.

Vicky received her undergraduate degree in Medical Science from the University of Cambridge. After working as a special education teacher and in special education policy in Singapore, she returned to Cambridge for a Masters in Psychology & Education and she obtained her PhD in Psychology from Cambridge in 2013. Vicky's PhD thesis was awarded the 2014 Robert J. Glushko Prize by the Cognitive Science Society, in recognition of outstanding cross-disciplinary work (integrating neuroscience, psychology, linguistics and computational modelling). Shortly after completing her PhD, Vicky was awarded a prestigious Junior Research Fellowship for early-career independent research at the University of Cambridge, followed by a Parke Davis Exchange Fellowship at Harvard University in 2015. Vicky has been awarded research grants from the UK Economic & Social Research Council (ESRC), the British Academy, Rosetrees Medical Trust, Wellcome Trust, and Ministry of Education (Singapore) to study language learning and social influences on neural development in infants and young children.
- Neuro-social processes that support learning
- Language acquisition during infancy
- Developmental language difficulties
  • A Novel Optogenetic Parent-Offspring Mouse Model of Neural Synchrony & Social Learning
  • A Sociometric AI Screening Tool to Risk-Stratify Infant Neurodevelopmental Trajectories (STARS)
  • A Sociometric AI Screening Tool to Risk-Stratify Infant Neurodevelopmental Trajectories (STARS) WP3 (KKH)
  • CLIC WP0.1 - PI Prof Victoria Leong Vik Ee
  • Development of Lab-Based and Portable Dyadic-EEG Sociometrics Sensor Suites for Measurement of Social Interaction Effects on Infant Executive Function
  • How do depressed and anxious maternal moods shape infant affective cognition?
  • The digital future of human learning: Social optimisation of digital media for early learning