Quantitative sciences play an increasingly critical role in meeting the challenges that the world faces. From epidemiological applications for COVID-19, to modelling of climate change, machine learning and computational applications in finance, the applications of mathematics, statistics and computational sciences affect people’s lives in ways that we do not often recognize. This has opened up a very rich array of job opportunities for people with an interest and aptitude for these areas. The Career and Innovation Hub seeks to facilitate the entry of students into industry by connecting opportunities with talent.
The CIH program is designed with these three objectives:
1. Provide a forum for industry experts to discuss current trends in the fields and highlight domain-specific expertise that is especially valued in the job market;
2. Graduates in STEM fields are given the opportunity to showcase their individual skills through activities like poster sessions, hackathon, etc.;
3. Leaders from academia share new and exciting research with the potential to transform industries in their areas.
To achieve these objectives, the CIH program includes …
– presentations from academia and industry
– panel discussion
– poster session
– video contest
– drop-in office hours for professional development
For more details, see our events page.
The 2021/2022 CIH program will have both online and in-person components.
Events in 2021 will be 2-3 hour virtual interactive zoom meetings on November 12 and December 3. Each meeting will showcase speciﬁc strengths in Canada’s industrial landscape. The goal is to connect graduating students and ﬁnishing postdocs in mathematics, statistics and related disciplines with a wide swathe of industrial partners who are involved in cutting edge research, development and production. Meetings will be live-streamed and recorded.
Events in 2022 may have both virtual and in-person components. Please check back here to see individual program plans as they develop.
Events are free but registration is mandatory due to space constraints.
Associate Professor, University of Calgary
Calgary Site Director, PIMS
Assistant Professor of Mathematics & Statistics, Université de Montréal
Deputy Director, The Fields Institute
Professor of Mathematics and Statistics, McMaster
Professor of Mathematics & Statistical Sciences, University of Alberta
Vice President, Transformation, Science and Technology at ATCO Group
Professor of Mathematics, University of British Columbia, Vancouver
Scientiﬁc Director, Banﬀ International Research Station
Senior Principal Scientist, Pfizer
Anna Sher, MD, PhD is a Senior Principal Scientist in the Quantitative Systems Pharmacology Group at Pfizer. Anna received her MBBS (MD equivalent) from Imperial College London Medical School and a DPhil (PhD equivalent) in Computational Biology from the University of Oxford. Her doctorate work with Professors David Gavaghan and Denis Noble focused on modeling local calcium dynamics in heart muscle cells to gain insight into the role of the sodium-calcium exchanger in cardiomyocyte function. She continued postdoctoral research at the University of Oxford as part of the EU preDICT project to develop mathematical models of drug action in ventricular electrophysiology at the cellular level to assess pro-arrhythmic risk at the whole heart level. At Pfizer, Anna leads cardiometabolic and hyperinsulinemia modeling efforts to support drug discovery and development programs at both preclinical and clinical stages.
My main research interest is dimension reduction for complex high-dimensional data. I develop methods that leverage the structure present in the data to mitigate the “curse of dimensionality”.
Professor of Mathematics, University of British Columbia Okanagan
President-elect, Canadian Applied Industrial Mathematics Society (CAIMS)
Senior Account Manager and Team Lead for BC & Yukon, MITACS