Data analysis / Data engineering / Statistical modeling
Understanding problems with data,
putting answers into practice through analysis and engineering.
I am pursuing an MSc in Biostatistics at City University of Hong Kong, following undergraduate studies in Data Science and Big Data Technology at East China Jiao Tong University. My work connects statistical analysis, machine learning, and data engineering, from data preparation and experiment evaluation to automated reporting.
PROJECTS & RESEARCH
Audit geometry, compare features, and conduct leave-one-center-out validation using primary-tumor and lymph-node imaging.
2026.06 — Present · Exploratory research · No final model selected
Provide aggregate data for a five-page interactive dashboard, from incremental events and reconciliation to daily KPI updates.
2026.08 — 2026.09 · Synthetic data · 19 tests
Reanalyze 64,000 historical randomized email records to compare overall email effects and the offline value of targeting policies.
2026.08 — 2026.09 · Historical post-hoc analysis · Five-seed evaluation
Learn shared and function-specific risk components from multilead ECGs, reconstructing multiscale survival representations as traceable lead-by-time loadings.
2026.05 — 2026.07 · CODE-15 twelve-lead ECGs
Build a survival pipeline with patient-level splits and training-only preprocessing, comparing predictive performance under a common evaluation design.
2025.04 — 2025.08 · Internal validation C-index 0.887 ± 0.009