Daniel Ray
Wearable Bio-sensing Postdoc Research Engineer at University of Melbourne
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolDaniel Ray is a wearable bio-sensing postdoc research engineer with a decade of experience translating raw physiological signals—especially photoplethysmography (PPG)—into actionable health and fitness insights. He combines a PhD in Electrical and Electronics Engineering and a MSc in Data Science with hands-on work in industry and academia, including roles at Huawei, Murdoch Children's Research Institute, and an honorary fellowship at the University of Melbourne. His background spans machine learning, wearable computing, signal processing and ethics, and he has designed multi-sensor experiments and bespoke analytics platforms that bridge research and product needs. Notably, he moves fluidly between building production-ready analytics and probing what sensors actually measure, aiming to make wearables more transparent and clinically meaningful.
10 years of coding experience
1 year of employment as a software developer
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at University of LiverpoolHigh School, High School at GEMS EducationDoctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at The Manchester Metropolitan University
Github Skills (17)
ieee10
wearable-computing9
wearable-devices9
uncertainty-quantification8
deep-learning6
flask-application6
svd5
tensorflow5
nmf5
neo4j4
flask3
movie3
recommendation-system2
python2
recommender-system2
Programming languages (2)
Github contributions (5)
danielray54/MovieSocialReccommender
Aug 2019 - Jan 2023
Web Based Movie Recommendation System using Neo4j, Flask utlising Collaberative fitlering techniques SVD and NMF
Contributions:5 PRs, 5 pushes, 1 branch in 3 years 5 months
techniquespythonflaskmovierecommendation
danielray54/Perceptron-Teaching-Aid
Mar 2018 - Apr 2019
Contributions:10 pushes, 1 branch in 1 year 1 month
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