Skills
Technical stack, research design, governance, reporting, formal training, and working languages for population health and survey science.
Languages & Computing
- R (Advanced): tidyverse, ggplot2, Shiny, multilevel modeling, causal inference, longitudinal analysis
- Python (Intermediate): data processing, scripting, automation
- SQL (Intermediate): complex queries, joins, ETL pipelines
- SAS / SPSS: legacy health data systems
- Git: version control, reproducible workflows
- REDCap: electronic data capture, survey management
Research Methods
- Large-scale longitudinal & serial cross-sectional survey design (10K+ respondents, 10+ waves)
- Multilevel & hierarchical modeling
- Causal inference & structural equation modeling
- Complex survey design, weighting & sampling
- Cross-cultural measurement validation & health equity analysis
- Mixed methods: semi-structured interviews, thematic coding, NVivo
- Real-time population surveillance
Data Governance & Operations
- PHIPA / MFIPPA compliance & health data stewardship
- Research ethics protocols (TCPS2, ICH-GCP, CITI)
- Multi-site coordination & budget management
- Data quality assurance & audit frameworks
- Stakeholder reporting (government, clinical, executive audiences)
- Team supervision & mentorship
Reporting & Visualization
- R (ggplot2, Shiny dashboards)
- Power BI / Tableau
- GIS/Mapping (intermediate)
- Microsoft Excel (Advanced), Microsoft Office Suite
- Inkscape / Microsoft Visio (diagramming)
- Policy briefs & executive summaries (Statistics Canada, government)
Professional Credentials
- Certificate in Statistical Learning (Stanford University, 2023)
- Professional Certificate in Data Science (Harvard T.H. Chan School of Public Health, 2022)
- TCPS 2 CORE Research Ethics Certificate (2024)
- WHO Composite International Diagnostic Interview Training (2021)
- CITI Research Ethics & Regulatory Training (2017)
Languages
- English (Native)
- Cantonese (Native)
- Mandarin (Professional)
- Spanish (Intermediate)