Yiu Suen is an Associate Data Scientist based in Hong Kong with a decade of experience bridging psychology, statistics, and applied machine learning. Trained as a psychologist with a PhD in quantitative and psychometric methods and an M.S. in Statistics, he has moved from academic research and teaching into industry roles building NLP and ML systems for speech and text, algorithmic trading, and exam scoring. He has hands-on production experience—designing data pipelines, CI/testing, and deployment—and has improved model training and experiment tracking for open-source projects like an image-to-LaTeX converter. Yiu’s work uniquely combines rigorous simulation and psychometric methodology with practical ML engineering, and he has published research while also generating synthetic datasets with LLMs for real-world NLP tasks.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Quantitative and Psychometrics Methods, Doctor of Philosophy - PhD Quantitative and Psychometrics Methods at University of Minnesota
Convert images of LaTex math equations into LaTex code.
Role in this project:
ML Engineer
Contributions:57 commits, 1 PR, 25 pushes in 3 months
Contributions summary:Yiu primarily focused on improving the training and deployment pipeline of the image-to-latex model. They implemented the CRNN model for faster testing and added experiment tracking with Weights & Biases and CLI using typer. The user also addressed bugs related to model saving and made improvements to the data processing steps.
Contributions:42 commits, 11 pushes, 1 branch in 21 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.