Johnny Liu
Graduate Researcher
Singapore
Summary
👤
Senior🎓
Top SchoolJohnny Liu is a graduate researcher and MSc candidate in Data Science and Machine Learning at the National University of Singapore, with a BSc in Statistics and Economics from the University of Toronto and 11 years of practical experience. He bridges academic rigor and applied research, currently working on EEG-to-image generation at A*STAR and leading large-scale data collection and analytics projects under Prof. Chen Nan at NUS. Skilled in TensorFlow, PyTorch, web crawling, and multi-modal data processing, he turns noisy numeric, text, and image datasets into clear visualizations and actionable insights. His background includes developing adaptive experimentation tools and a Thompson Sampling algorithm while supporting teaching of inferential data analytics, showing a blend of research, engineering, and pedagogy. Based in Singapore, he’s focused on interdisciplinary problems at the intersection of neuroscience and machine learning, with a pragmatic knack for productionizing research prototypes. Colleagues describe him as a collaborator who surfaces subtle dataset biases early, helping teams avoid common pitfalls in large-scale studies.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science, Statistics and Economics, Bachelor of Science, Statistics and Economics at University of TorontoMaster of Science - MS, Data Science and Machine Learning, Master of Science - MS, Data Science and Machine Learning at National University of Singapore
Chinese, English
Github Skills (4)
cucumber-jvm8
java6
cucumber5
jvm4
Programming languages (1)
Github contributions (5)
AkaiTsuki/machine-learning
Sep 2014 - Oct 2014
Contributions:40 commits in 25 days
AkaiTsuki/nulearn4j-machine-learning
Oct 2014 - Dec 2014
Contributions:41 commits in 1 month
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