Data science leader with 15 years of experience leading teams in technology adoption to deliver complex data products in science, healthcare, and insurance organizations.

General Information

Full Name Tzvi Aviv
Date of Birth December 1972
Languages English, Hebrew


  • 2006
    University of Toronto, Toronto, Canada
    • Department of Medical Genetics
    • {"title"=>"RNA Recognition by SAM domains"}
  • 2016
    Toronto Metropolitan University, Toronto, Canada
    • Technology Innovation


  • 2020 - 2023
    Data Science Director
    Loblaw Companies Limited, Brampton, Ontario, Canada
    • Recruited, mentored, and managed a highly skilled team of data scientists and engineers.
    • Developed best practices and scalable operating procedures (Python/SQL) for data capture and analysis of epidemiological trends.
    • Oversaw the development of multiple proof-of-concept machine learning projects including demand forecasting by deep sequence modelling, treatment prevalences, and precision medicine treatments.
  • 2017-2020
    Founder & CEO
    Dagan-Tech Inc., Toronto, Ontario, Canada
    • Hired, coached, mentored, and motivated talented University of Waterloo students.
    • Led a research team in data processing and risk modeling using computer vision to identify and segment crops combined with weather patterns analysis to predict crop insurance risks.
    • Won RFP for video segmentation algorithm using face recognition model for Canada Border Services Agency
  • 2016-2017
    IdeaConnection, Laval, QC, Canada.
  • 2015 - 2016
    Business Development
    SpineSonics Medical, Toronto, Ontario, Canada
  • 2006 - 2014
    Research Associate
    Hospital for Sick Children, Toronto, Ontario, Canada


  • 2019
    • SR&ED Canada Revenue Agency - R&D Award
  • 2018
    • Next Canada - Pre-seed investment
  • 2017
    • Syngenta AG AI Challenge - Soybean yield prediction
    • Xinova - Patent for ice generation technology
  • 2016
    • IdeaConnection - Novel Antimicrobial Formulation
    • Syngenta AG - Source-Sink Relationship Management in Ranunculus
    • Syngenta AG - High-Throughput, High-Purity Cytoplasmic DNA Isolation

Professional Interests

  • Agile Data Science
    • Team Managment
    • DevOps Processes
  • Applied Machine Learning in Health
    • Optimizing Diabetes medication type and dose
    • Optimizing Hypertension medication type and dose
    • Prescision Public Health and Real World Epidemiology

Other Interests

  • Hobbies: Endurance Sports, Beer Brewing, Trekking and Canoeing.