Past Events

The BC Data Science workshop is targeted at graduate and undergraduate students in the Mathematical Sciences at UBC, SFU and other PIMS Universities. Participation from local Industry is encouraged and successful applicants will be guided to apply...

Physical, geophysical, chemical, living and man-made systems often show behaviors that cannot be understood by studying their building blocks or constituents to ever finer detail but that are emergent. The concept of emergence can be summarized by...

We conclude the annual BC Data Colloquium with a three part discussion series on May 17. More details on the demonstration and talks are available below. Phat Tran , Head of Shared Services IT, Technical Safety BC Computing on edge and real time...

A flexible Fluid-Structure Interaction (FSI) framework is presented. The framework is derived on the basis of an Augmented Lagrangian formulation for FSI, and is suitable for matching and non-matching interface discretization. The key constituents of...

As machine learning becomes more critical to businesses’ core offerings, data scientists must adapt their tools and techniques to meet business demands. Industry data scientists can no longer run ad hoc Tensorflow or Spark jobs against local data...

Personalized medicine has been hailed as one of the main frontiers for medical research in this century. In the first half of the talk, we will give an overview on our projects that use complex and big data sets for biomarker discovery. In the second...

The Vancouver Police Department is known worldwide for its pioneering work in the field of intelligence-led policing, and is the first police service in Canada to deploy a machine-learning predictive system directly on police mobile computers. With a...

The Alberta Epigenetics Network (AEN) in partnership with the Pacific Institute for the Mathematical Sciences (PIMS) is organizing a workshop November 24, 2017 in Calgary, which would: 1. Provide researchers and industry partners a platform to share...

In this talk we will explore deep neural networks from a dynamical systems point of view. We will show that the learning problem can be cast as a path planning problem with PDE constraint. This opens the door to conventional Computational techniques...

Data analytics is increasingly becoming an important part of decision making process in applications ranging from management, technology, policy analysis and sports. Key decisions that have been traditionally made by humans are now partly made or at...