AARMS Workshop

Atlantic News

AARMS Workshop
Statistical Learning and Health Data Analytics

On October 15, 2017 the University of New Brunswick Fredericton hosted an Atlantic Association for Research in the Mathematical Sciences (AARMS) Workshop on Statistical Learning and Health Data Analytics, as a post-event of the annual Science Atlantic Mathematics, Statistics and Computer Science Conference. The workshop was organized by an AARMS Collaborative Research Group, Statistical Learning for Dependent Data under the administration of Ying Zhang, Acadia University. Statistical research in the Maritime region was promoted through numerous talks by researchers in the field of statistical learning and health data analytics. The workshop also provided students with a training opportunity in this high-demand multidisciplinary field.

The workshop had a great turn-out of undergraduate students, graduate students, faculty, professionals and speakers, participating in discussions on statistical learning and health data analytics:
   • Hugh Chipman (SSC President; Acadia University) presented an overview of statistical learning methods that are essential in learning from data.
   • Ted McDonald (Director, NB Institution for Research, Data and Training; University of New Brunswick) and Samuel Stewart (Director, Health Data Nova Scotia; Dalhousie University) discussed recent developments in data driven health research in New Brunswick and Nova Scotia.
  • A Maritime Health Science Collaborating Centre was proposed by Ying Zhang and Anja Haltner (Acadia University) to promote research in health through collaborations among researchers in academia and health industries.
  • Further statistical learning methods with applications in medicine were presented by Amy Wu (York University), Hong Gu (Dalhousie University) and Renjun Ma (University of New Brunswick), including topics on graph-based change-point tests for high dimensional data, statistical learning methods in emergency diagnosis and human microbiome analysis, and the analysis of dependent data with various correlation structures.

The workshop was proudly sponsored by Science Atlantic, Atlantic Association for Research in the Mathematical Sciences, Canadian Statistical Sciences Institute Health Science Collaborating Centres and UNB Fredericton.

Anja Haltner, Acadia University

Wednesday, January 3, 2018

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