Hi, I'm Arnold, a machine learning engineer and data scientist.
Contact me directly at arnold [dot] yeung [at] mail [dot] utoronto [dot] ca
Select Machine Learning Projects
Personalized Self-Explaining Image Classifier
Developed an RL framework which provides end users with sequential personalized explanations for the behavior of an image classifier.
The AI agent will predict what explanations you'll find most helpful as you learn how to simulate its behavior.
Sponsored by the Electronics and Telecommunications Institute (ETRI) of the Republic of Korea.
Published and presented at ICML 2020 Workshop on Human Interpretability in Machine Learning (Spotlight).
Machine Learning Prediction of Confirmed COVID-19 Cases using Non-Pharmaceutical Interventions and Cultural Dimensions
Developed an ETL pipeline for 3 datasets, containing non-pharmaceutical interventions and cultural dimensions of 114 countries.
Trained multiple machine learning models to predict the confirmed infection growth in the following 14 days. Evaluated model performance using 3 validation methods, each applicable to a different use case.
Published in Journal of Medical Internet Research, 2021.
Battery State-of-Health Determination
Select Engineering Projects
Comparing the Performances of Wet and Dry EEG Electrodes
Designed and constructed an EEG headcap with dry and wet electrodes and conducted human experimentation. Evaluated and compared the performances of different dry electrodes, relative to standard wet electrodes.
Published and presented at IEEE Engineering in Medicine and Biology Conference (EMBC) 2015 (Oral Presentation).
Retail Teabag Packager
Identified critical needs of small-scale specialty tea-leaves retailers. Conceptualized and designed an electro-mechanical teabag packager. Manufactured and assembled a physical MVP prototype for demonstration purposes.