William Tang

McGill MSc Epidemiology
Waterloo BSc Health Science
Project Management Professional

Personal Details

  • Food: Dim Sum
  • Sport: Badminton

Public Health Journey

I am a Scientist by training and a Project Manager by trade.

Over the past few years, I have led and supported health research across Alberta, Ontario, and Quebec. These diverse experiences revealed a critical disconnect in our industry: Great science often stalls due to poor execution.

My career aims to solve this problem.

The Foundation (BSc & Co-op): The University of Waterloo laid the scientific foundation of my career. The undergraduate coursework provided diverse exposure to various aspects of health research, combined with 2 years of work experience through the co-op program. This allowed me to apply theories from the lecture hall directly to our healthcare system.

The Scientist (MSc): My diverse work experiences inspired me to pursue a Master’s in Epidemiology at McGill University. There, I received rigorous training in study design and causal inference from some of the brightest minds in the world. My work centered on leading Real-World Evidence (RWE) studies, evaluating the post-market cardiovascular safety of diabetes medications.

The Project Manager (PMP): Throughout my career, I have noticed that Scientists often struggle with operations and Project Managers usually lack the scientific foundation. This insight inspired me to pursue the Project Management Professional (PMP) certification. I now integrate project management best practices into the research lifecycle to ensure studies deliver maximum value.

The Hybrid Approach: I operate at the intersection of these two worlds. I can design protocols and manage the execution. My goal is to ensure that operational bottlenecks never get in the way of scientific discovery.

Let’s Connect: I love meeting new people. Feel free to send me an email. I am always happy to connect.

Expertise

Real-World Evidence (RWE) Generation

Strategy & Execution: Transformation of administrative and clinical data into decision-grade evidence. Generation of actionable insights that inform clinical practice and health policy.

Research Operations & Performance Monitoring

System Oversight: Development of centralized performance frameworks (KPIs) to track budget utilization and resource allocation. Transformation of manual inefficiencies into automated reporting ecosystems.

Study Design & Feasibility Analysis

Risk Management: Integration of project management frameworks into protocol development to ensure operational feasibility. Anticipation and mitigation of bottlenecks prior to study launch.

Statistical Analysis & Data Interpretation

Technical Translation: Bridge between complex statistical modeling and plain-language summaries. Delivery of clear, data-driven narratives for non-technical stakeholders and sponsors

Pharmacoepidemiology & Safety Surveillance

Safety Evaluation: Assessment of post-market safety and medication effectiveness. Mitigation of methodological challenges including confounding and selection bias, to ensure evidence validity

Change Management & Process Optimization

Adoption Strategy: Oversight of technology implementation and Standard Operating Procedures (SOPs). Facilitation of team buy-in ensuring operational continuity across research workflows.

Systematic Reviews & Meta-Analysis

Evidence Synthesis: Identification of knowledge gaps through rigorous literature appraisal. Establishment of scientific rationale to ground new research in the current global landscape.

Regulatory Compliance & Ethics

Audit Readiness: Full adherence to regulatory and ethical (REB) standards. Assurance of compliance at every stage of the project lifecycle to mitigate legal and reputational risk

Knowledge Translation & Stakeholder Engagement

Strategic Communication: Production of decision-grade reports for clinicians and policymakers. Alignment of diverse stakeholder expectations to sustain long-term collaboration..

Education

TRAINING

  • HLTH 173: Indigenous Health
  • HLTH 230: Introduction to Health Informatics
  • HLTH 260: Social Determinants of Health
  • HLTH 280: Applied Public Health Ethics
  • HLTH 290: Introduction to Health Neuroscience
  • HLTH 340: Environmental Toxicology & Public Health
  • HLTH 341: Principles of Pathobiology
  • HLTH 350: Principles of Occupational Health
  • HLTH 370: Ecological Determinants of Health
  • HLTH 448: Advanced Social Determinants of Health
  • PPHS 602: Foundation of Population Health
  • HLTH 333: Principles of Epidemiology
  • HLTH 442: Epidemiology of Non-Communicable Diseases
  • HLTH 443: Epidemiology of Communicable Diseases
  • EPIB 601: Fundamental of Epidemiology
  • EPIB 603: Intermediate Epidemiology
  • EPIB 605: Critical Appraisal in Epidemiology
  • EPIB 631: Intermediate Pharmacoepidemiology
  • EPIB 661: Advanced Pharmacoepidemiology
  • EPIB 654: Pharmacoeconomics
  • HLTH 204: Quantitative Approaches to Health Science
  • STAT 316: Introduction to SAS
  • HLTH 344: Qualitative Methods for Health Research
  • EPIB 607: Inferential Statistics
  • EPIB 613: Introduction to R
  • EPIB 621: Data Analysis in Health Science
  • EPIB 645: Confounding Control in Epidemiology
    • Undergraduate Thesis: Latent Classification of Patients with Schizophrenia
      • Data Source: interRAI & OMHRS (Ontario Data Set)
    • Master’s Thesis: Sodium Glucose Co-Transporter 2 Inhibitor and the Risk of Ventricular Arrhythmia
      • Data Source: CPRD Aurum (United Kingdom Data Set)