Hao He

PhD candidate in statistics with research experience in missing-data methods, doubly robust estimator, semiparametric inference, and variance estimation. Develops statistical methodology and evaluates its performance through Monte Carlo simulation and bootstrap studies. Brings applied experience in data preparation, regression modelling, interdisciplinary research, and communicating statistical findings.

Doctoral Researcher, Statistics at University of Ottawa (2020-09 – Present)

• Developed empirical likelihood methods for estimating population means, distribution functions, and quantiles from multiple related populations with outcomes missing at random.
• Constructed kernel-based random hot-deck imputation procedures that use auxiliary information to select observed donor values for missing outcomes.
• Established consistency and asymptotic normality under regularity conditions and derived variance expressions accounting for sampling, nonresponse, and random imputation.
• Proposed a doubly robust imputation procedure that protects against misspecification of either the imputation model or the propensity score model.
• Evaluated estimator bias, efficiency, and bootstrap confidence interval coverage through Monte Carlo simulations under different sample sizes and model specifications.

Research Assistant at Dalhousie University (2016-05 – 2017-03)

• Analysed microbial community data to investigate the effects of ocean acidification in collaboration with researchers in ocean biology and statistics.
• Consolidated large data files into standardized text files for statistical analysis and cross-platform access; screened operational taxonomic unit data for suitability.
• Used exploratory analysis and clustering to characterize patterns and temporal changes; fitted Poisson regression models to assess location and time effects.
• Summarized findings in concise analytical reports and presented progress at weekly interdisciplinary meetings.

Master’s Researcher, Statistics at Dalhousie University (2014-09 – 2016-04)

• Investigated the sensitivity of empirical Bayes ranking methods to prior specification, with particular attention to heavy-tailed priors and applications to simulated market basket data.
• Designed simulation studies using Gibbs sampling to compare mean squared error across prior specifications and developed mathematical arguments to explain the observed performance.
• Diagnosed an error in an R package and developed an alternative algorithm in communication with the package developers.

Junior Algorithm Engineer at WISEME (2018-06 – 2019-01)

• Assisted with the development of image recognition algorithms for object localization and segmentation.

Data Analyst Intern at 8Sian Media (2017-06 – 2018-05)

• Integrated data from multiple YouTube channels and built statistical models to assess associations between viewer location, device type, view counts, and viewing duration.
• Prepared summary reports and presented analytical findings to colleagues.

Teaching Assistant at University of Ottawa (2020-09 – 2025-08)

Private Statistics Tutor at Look4Tutor (2019-08 – 2020-08)

Teaching Assistant at Dalhousie University (2014-09 – 2016-08)

PhD in Mathematics and Statistics – University of Ottawa (2020-09)

MSc in Statistics – Dalhousie University (2014-09 – 2016-05)

BSc in Mathematics; concentration in Mathematics and Applied Mathematics – Shandong University (2010-09 – 2014-06)