Glucose Prediction using Diet Data - BC-325

Preferred Disciplines: Computing Science, Engineering and or Statistics
Project length: 1 year
Desired start date: TBD
Location: Vancouver, British Columbia
No. of Positions: 1
Preferences: Vancouver-based post secondary institutions  
Company: Prizm Media Inc

About Company:

Prizm Media is Profit 500 listed company, w100 and 40 under 40 owned Healthcare Lead Generation and Technology Company.  Its focus is to connect patients (primarily diabetics) with products and services they need to improve their health outcomes

Project Description:

Investigate, Design and Implement/Optimize a multivariable model with machine learning capabilities to predict user’s glycemic fluctuations

Background and required skills

Research Objectives/Sub-Objectives:

  • To optimize deep learning models to identify glycemic fluctuation and potential health risks using a mobile app
  • To implement machine learning algorithm to predict potential blood glucose spike in advance.
  • To implement machine learning algorithm that personalizes meal time foods from a pre-existing database of dietician approved meal plans.


  • N/A

Expertise and Skills Needed:

  • Machine learning
  • Neural networks
  • SVM
  • Data scientist
  • Analytics and big data

For more info or to apply to this applied research position, please

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