Ryan Law
Research Scientist at University of Cambridge
United Kingdom
Summary
👤
Senior🎓
Top SchoolRyan Law is a research scientist and Gates Cambridge PhD candidate focused on the cognitive, computational, and neural bases of language understanding, with specific expertise in semantic composition, compositional generalization, and semantic memory. Over a decade of research experience spans electrophysiology (MEG/EEG), eye-tracking, large-scale web behavioural studies, and programming in Python and R, applied to experimental design and neural data analysis. He has coordinated multidisciplinary teams and led complex studies at institutions including the University of Cambridge, Max Planck Institute, NYU Abu Dhabi, and Harvard, combining rigorous lab management with hands-on technical work. Fluent in both neuroscience and computational methods, he leverages NLP and machine learning tools to link theoretical models of meaning with brain data. As a Bornean Malaysian scholar, he brings an international perspective and a track record of translating cross-cultural language data into insights about human semantic processing.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Cognitive Neuroscience, Master of Science - MS, Cognitive Neuroscience at Radboud UniversityDoctor of Philosophy - PhD, Cognitive Neuroscience, Doctor of Philosophy - PhD, Cognitive Neuroscience at University of CambridgeUniversity College London
English, Chinese, Malay, Dutch, Arabic
Github Skills (9)
visualization8
statistics8
neuroscience8
neuroimaging8
python7
machine-learning7
jekyll4
pygame1
psychopy1
Programming languages (2)
Github contributions (5)
rylaw/wrdlst
May 2019 - Jul 2020
Contributions:47 pushes, 1 branch in 1 year 2 months
lacns/lacns.github.io
Jan 2021 - Jun 2022
Martin Lab website
Contributions:2 PRs, 41 pushes, 1 branch in 1 year 5 months
jekylllablab-website
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