Hao Zhang Email & Phone Number

Montreal, Qc, Ca

- Coded in python for Web App development under Django environment- Assisted in projects in clinical trials and effectively completed statistical and programming projects- Developed Statistical Analysis Plans (SAPs), updated mock tables, and checked soft-locked data- Prepared tables and listings for Data and Safety Monitoring Board (DSMB)- Programmed in SAS for sample size calculation; tables, listings, graphs (TLGs) and analysis (Pearson correlation), cut-offs/threshold calculation, survival analysis, etc. - Created visualizations, automated reports and dashboards using, Shiny, ggplot2, and R Markdown- Programmed in Python for machine learning projects - Conducted prediction models using Naïve Bayes, logistic regression and linear regression with gradient descent and regularization- Conducted natural language processing projects and classified and predicted subject categories based on 88,638 actual academic abstracts using linear classifiers (Naïve Bayes, Support Vector Machine, Random Forest & Neural Network), non-linear classifiers and other machine learning techniques with Python &R- Cleaned, classified and predicted image data based on 100,000 image data using linear regression, k-nearest neighbor and other machine learning techniques with R- Analyzed and predicted the elephant migration in Central Africa to prevent poaching with Python &R using K-Nearest Neighbor, Support Vector Machine, and Generalized Linear Model- Simulated causal inference models- Developed online interactive tools with RShiny for physicians and primary care researchers- Conducted questionnaire validation, Factor analysis and Bayesian factor analysis and Systematic literature review

Programmed in basic SAS, SAS Graph & SAS Macro/SQL LanguagesCommunicated efficiently in written & orallyUsed Microsoft Word, Excel & PowerPointWorked on the RAMQ simulated data for the Canadian Network for Observational Drug Effect StudiesAnalyzed large pharmacoepidemiologic administrative claims datasets (100GB)Constructed the cohort, selected the cases and the controls, matched, built the propensity score, Controlled for covariates and confounding, and performed analyses

Analyzed data in SPSS (Pearson correlation, T-test, Chi-square test, ANOVA, Linear regression, Logistic regression)Wrote Manuscript

Doctor Of Philosophy (Ph.D.), Family Medicine (Biostatistics)

Master Of Science (M.Sc.), Biostatistics

Bachelor Of Arts (B.A.), Psychology

Education record