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'''analyste principal des systèmes et scientifique des données en chef, Services publics et Approvisionnement Canada'''<br>

'''analyste principal des systèmes et scientifique des données en chef, Services publics et Approvisionnement Canada'''<br>

Dr. David Maybury received his BSc in Applied Mathematics from the University of Western Ontario and his PhD in High Energy Physics from the University of Alberta. He was a postdoctoral fellow with the Rudolf Peierls Centre for Theoretical Physics, University of Oxford, before joining the Government of Canada, first as a senior operations research scientist with National Defence and currently as the head scientist of the Centre for Operations Research and Data Science at Public Services and Procurement Canada. David specializes in modelling stochastic processes for support to decision making. Under his leadership as the international chairman of the NATO System Analysis and Studies Task Group on military economics his research team won NATO’s 2016 Scientific and Technology Achievement Award. In his current role at PSPC, David provides mathematical and computational oversight of all operational research and data science initiatives. He has numerous peer-reviewed publications in physics, economics, and operational research.

Dr. David Maybury received his BSc in Applied Mathematics from the University of Western Ontario and his PhD in High Energy Physics from the University of Alberta. He was a postdoctoral fellow with the Rudolf Peierls Centre for Theoretical Physics, University of Oxford, before joining the Government of Canada, first as a senior operations research scientist with National Defence and currently as the head scientist of the Centre for Operations Research and Data Science at Public Services and Procurement Canada. David specializes in modelling stochastic processes for support to decision making. Under his leadership as the international chairman of the NATO System Analysis and Studies Task Group on military economics his research team won NATO’s 2016 Scientific and Technology Achievement Award. In his current role at PSPC, David provides mathematical and computational oversight of all operational research and data science initiatives. He has numerous peer-reviewed publications in physics, economics, and operational research.

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'''Abstract'''

'''Abstract''' <br>

I am the head data scientist of Public Services and Procurement Canada’s new data science team — the Centre for Operational Research and Data Science (CORDS). We provide service to PSPC branches, dedicated to innovation with data, machine learning, artificial intelligence, and its application to better decision making. More than ever, Canadians and our governments expect that we reach our conclusions using reproducible, evidence based methods to improve the public good. Whether it’s understanding the demographics of our workforce, the effects of our decisions on the economically disadvantaged, or the performance of our services to other departments, we can only make progress with insight from our data. In this short talk, I will discuss how we have supported PSPC’s HR-to-Pay Program Office (HRPPO) for locating Phoenix pay system bottlenecks and performance issues along GBA+ dimensions. I will also discuss some of our recent work on COVID-19 during our partnership with the Public Health Agency of Canada. We contributed to the literature on seroprevalence of COVID-19 antibodies in the general population, and we recently published a stochastic propagation model in the Journal of Theoretical Biology on how the virus begins to spread during an outbreak with applications to federal workplaces.  

I am the head data scientist of Public Services and Procurement Canada’s new data science team — the Centre for Operational Research and Data Science (CORDS). We provide service to PSPC branches, dedicated to innovation with data, machine learning, artificial intelligence, and its application to better decision making. More than ever, Canadians and our governments expect that we reach our conclusions using reproducible, evidence based methods to improve the public good. Whether it’s understanding the demographics of our workforce, the effects of our decisions on the economically disadvantaged, or the performance of our services to other departments, we can only make progress with insight from our data. In this short talk, I will discuss how we have supported PSPC’s HR-to-Pay Program Office (HRPPO) for locating Phoenix pay system bottlenecks and performance issues along GBA+ dimensions. I will also discuss some of our recent work on COVID-19 during our partnership with the Public Health Agency of Canada. We contributed to the literature on seroprevalence of COVID-19 antibodies in the general population, and we recently published a stochastic propagation model in the Journal of Theoretical Biology on how the virus begins to spread during an outbreak with applications to federal workplaces.  

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[[File:Janie Filiatrault.png|frameless|center]]

[[File:Janie Filiatrault.png|frameless|center]]

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=== Janie Filiatrault ===

=== Janie Filiatrault ===

'''directrice, Direction générale de la gestion de la transformation, Emploi et Développement social Canada'''<br>

'''directrice, Direction générale de la gestion de la transformation, Emploi et Développement social Canada'''<br>