Predict Human Reading Time Using GPT-2 & BERT
A computational cognition project using transformer surprisal scores and mixed-effects models to predict human reading time.
Portfolio
Data Science and Applied Machine Learning
I am a senior Undergraduate student pursuing an Honours Bachelor of Science (HBSc) at the University of Toronto with a double major in Statistics and Cognitive Science in the computational stream, plus a Mathematics minor. I am passionate about research, machine learning, health data, and computational cognition. I have applied research experience in AI Evaluation and Applied Machine Learning.
Current Resume
The resume includes current research roles at UofT Computer Science and iSchool, selected projects, technical skills, coursework, and awards.
Recent Posts
Parkinson Classification & Symptoms Profiling with Accelerometer Data
Unsupervised clustering and tremor-specific feature engineering over wrist-worn accelerometer data.
CityScope - Weather-Aware Urban Exploration App
A Java app using OpenWeather API integration and clean architecture for weather-aware location recommendations.