PhD candidate in Neurosciences at National University of Singapore, specializing in the non-visual effects of light on brain, behaviour, and ocular physiology. Research background spans clinical psychiatry and cognitive neuroscience. Current research focuses on light-driven modulation of cognition and physiology, pupillometric biomarkers of non-visual function, and machine-learning approaches for classifying environmental light exposure. Methodological expertise includes experimental design, multimodal data acquisition, computational pipelines, and digital behaviour-change tools.
Summary
Education
- Yong Loo Lin School of Medicine, NUS, Singapore Doctor of Philosophy, Neurosciences Grade : Awarded NUS Research Scholarship Jan 2023 - Present
- Lebanese University, Fanar, Lebanon MSc (M2), Behavioural and Cognitive Neurosciences Grade : Ranked 1st in cohort Jan 2021 - Dec 2022
Experience
- PhD Candidate Eye N' Brain Research Group, School of Medicine, NUS, Singapore Aug 2023 - Present • 2 yrs 9 mos
Designing and executing a multi-phase study examining light-driven modulation of cognitive performance, mood, sleep, and alertness in 100+ healthy young adults across controlled lab conditions and real-world settings. Designing and implementing multimodal experimental protocols, integrating chromatic and cognitive pupillometry, eye tracking, actigraphy, wearable light sensors, and mobile/computer-based cognitive tasks. Developing and testing innovative light-based behavioral interventions, including mobile-based strategies for improving real-world light exposure across different populations Leading the development of InNOut, an in-lab machine learning model integrating spectral features and human perception for indoor-outdoor classification. Driving complete research cycles: protocol development, IRB submissions, recruitment, data collection, preprocessing pipelines, statistical analysis, and manuscript preparation.
- PhD Researcher Singapore Eye Research Institute (SERI), Singapore Jun 2024 - Present • 1 yr 11 mos
Leading a project assessing non-visual photoreception in patients with glaucoma compared to age-matched healthy adults. Conducting participant recruitment, clinical assessments, and psychometric questionnaires.
Skills
- Chromatic & cognitive pupillometry, Eye tracking, Actigraphy, Wearable spectral wearables, Ocular imaging, Photometric light measurement, Psychometric assessmentsExpert
- Multimodal protocol design, Clinical cohort research, Digital & behavioural intervention design, mHealth UX, Cognitive task developmentExpert
Languages
- ArabicNative speaker
- EnglishHighly proficient
Certifications
- Digital Health Specialization Imperial College London / CourseraIssued • Expired 2025
- Montreal Cognitive Assessment (MoCA) Certification MoCA CognitionIssued • Expired 2023