Grants and Contributions

AI systems that can describe and predict behavior of biological networks of cells, tissues and organisms will allow more accurate, faster and less expensive innovations in life sciences while at the same time ensuring predictable outcomes. In particular, the full potential for safe and efficient utilization of gene editing and live cell therapies requires an ability for controlled design of these modalities with simulations that allow testing and optimization under different conditions in both production and utilization. The project will combine machine learning and mechanistic modeling for the development of simulation of biological systems and link these simulations with learning algorithms for testing and optimizing different designs. The focus of this 2 year project, will be on the development of methods for the simulation and design of desired characteristics of exosomes, as carriers of gene therapies, and development of methodologies for building simulations for HEK293, as major cells for bioreactor production and iPSC cells as major cells in stem and cell therapy development.
This project will focus on a probabilistic framework for merging data-driven methods with theory-based models. The project will also evaluate the applicability of state-of-the-art automatic metabolic quantification methods from the literature to NMR data currently being collected by the NRC.

Retail pattern analysis system development to measure movement flow and dwell time patterns with a retail store.

SEM is planning to hire a youth that possesses a background in graphic design and marketing to assist in it's social media marketing and general marketing needs. SEM is looking to focus its marketing and communications activities and the proposed candidate will assist with web and social media promotion, with the development of a marketing strategy and with the development of marketing and promotional material.

Development of business processes and market entry plan for USA/Europe.

AI systems that can describe and predict behavior of biological networks of cells, tissues and organisms will allow more accurate, faster and less expensive innovations in life sciences while at the same time ensuring predictable outcomes. In particular, the full potential for safe and efficient utilization of gene editing and live cell therapies requires an ability for controlled design of these modalities with simulations that allow testing and optimization under different conditions in both production and utilization. The project will combine machine learning and mechanistic modeling for the development of simulation of biological systems and link these simulations with learning algorithms for testing and optimizing different designs. The focus of this 2 year project, will be on the development of methods for the simulation and design of desired characteristics of exosomes, as carriers of gene therapies, and development of methodologies for building simulations for HEK293, as major cells for bioreactor production and iPSC cells as major cells in stem and cell therapy development.
This project will focus on a probabilistic framework for merging data-driven methods with theory-based models. The project will also evaluate the applicability of state-of-the-art automatic metabolic quantification methods from the literature to NMR data currently being collected by the NRC.

The purpose of this contribution is to test the “Social Impact Bond” model, a first for Public Safety Canada, in order to ascertain its potential to improve the sustainability of crime prevention interventions beyond the five year funding available under the Crime Prevention Action Fund. This pay-for-performance model will be tested with the YMCAs of Quebec’s Alternative Suspension (AS) program, which has demonstrated positive results for at-risk youth in past program evaluations. The YMCAs of Quebec is a non-profit organization with a long history of supporting vulnerable communities in Quebec and Canada.

The purpose of this contribution is to test the “Social Impact Bond” model, a first for Public Safety Canada, in order to ascertain its potential to improve the sustainability of crime prevention interventions beyond the five year funding available under the Crime Prevention Action Fund. This pay-for-performance model will be tested with the YMCAs of Quebec’s Alternative Suspension (AS) program, which has demonstrated positive results for at-risk youth in past program evaluations. The YMCAs of Quebec is a non-profit organization with a long history of supporting vulnerable communities in Quebec and Canada.

The purpose of this contribution is to test the “Social Impact Bond” model, a first for Public Safety Canada, in order to ascertain its potential to improve the sustainability of crime prevention interventions beyond the five year funding available under the Crime Prevention Action Fund. This pay-for-performance model will be tested with the YMCAs of Quebec’s Alternative Suspension (AS) program, which has demonstrated positive results for at-risk youth in past program evaluations. The YMCAs of Quebec is a non-profit organization with a long history of supporting vulnerable communities in Quebec and Canada.

Plaque unveiling

This 36-month project will address organizational capacity needs in order to allow the organization to continue promoting social and systemic change towards gender equality. Specifically, organizational capacity will be enhanced through human resources management, results-based management, partnership development and advocacy.