By Kate Baggott  “Causal inference is hard.”   That’s not a conclusion. It’s an observation Rahul G. Krishnan was brave enough to make at the Forging a Path: Causal Inference and Data

Data Science for an Effective Workforce Panel DSI Research Day, featuring from left to right: Lisa Strug, DSI Director, Dana Ohab, Associate Partner, Digital & Emerging Technology, EY, Ann Meyer, Director, BioInnovation Scientist Program, adMare BioInnovations, Mark Fiume, Co-Founder & CEO, DNA Stack, and Yves Jaques, Chief, Frontier Data & Tech Unit, UNICEF. Photo: Hary Choi.

Lisa Strug, Senior Scientist at The Hospital for Sick Children (SickKids) and Academic Director of the Data Sciences Institute, is one of nearly 100 researchers from across the University of Toronto and its partner hospitals who created the CGEn HostSeq — Canadian COVID-19 Human Host Genome Sequencing Databank. (Photo courtesy of The Hospital for Sick Children).

In a data-driven day, more than 250 individuals gathered to unveil the stories embedded within the numbers. The Data Sciences Institute’s first annual Data Science Research Day brought together data science enthusiasts from all corners to celebrate the fusion of data, innovation, and collaboration.

by Sara Elhawash How can innovative data-driven approaches like reinforcement learning revolutionize risk management for financial institutions?  Financial institutions constantly deal with the challenge of managing risks tied to factors like

by Sara Elhawash Amidst the whirlwind of rapid digital transformation sweeping across industries, we are shining a spotlight on the pivotal role that data science plays in building an effective workforce.