ABOUT
About
I use Python, PyTorch and SQL to prepare data, train models and evaluate predictions. My recent work spans language model fine-tuning, longitudinal sequence modeling and survival analysis. I have also worked on marketing uplift and financial data engineering.
Technical skills
Programming & data
Python, SQL, R, PostgreSQL, Excel
Statistics & experimentation
Regression, hypothesis testing, sampling and interval estimation, model evaluation
Machine learning & tools
PyTorch, scikit-learn, XGBoost, Transformer, feature engineering, SHAP, Git, Linux
Analysis & visualization
Multi-table queries, data cleaning, metric definitions, reconciliation, Streamlit
Interests
Machine learning & deep learning
I am interested in machine learning and deep learning methods, including feature representations, model design and their application to practical problems.
Medical imaging, longitudinal data & survival analysis
I am interested in medical images, longitudinal clinical events and follow-up data, focusing on patient representations, dynamic risk prediction and survival analysis for right-censored outcomes.
Languages
Mandarin, Cantonese, English
IELTS 7.0 · CET-6