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The UBC Data Science Institute is a Faculty of Science initiative designed to incubate and accelerate research, innovation and training in data-intensive science. Working across the university’s data science community and advanced computing teams, DSI equips researchers and external partners with the approaches, tools and expertise they need to fully leverage the potential of big data.

More about the DSI

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DSI provides co-funding opportunities for data science postdoctoral fellows.

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EVENTS AND NEWS

Job Opportunities

April 25, 2022 | We are seeking data scientists and postdocs to join our NLP mental health research team.

Data Science Minor info session

April 25, 2022 | Join the Data Science Minor team on Friday, April 29th to learn about the program and get your questions answered. Click to register.

Automating machine learning of interatomic potentials for green technologies

April 20, 2022 | DSI awards postdoctoral funding to Drs. Ortner, Rottler and Sinclair to develop machine learning methods to accelerate deployment of green technologies.

DSI members awarded prestigious UBC Killam Research Prizes

March 29, 2022 | Data Science Institute members Drs. Raymond Ng and Mark Schmidt awarded UBC Killam Research Prizes.

New $1.8M data-driven research project in housing awarded to UBC team

December 21, 2021 | A UBC research team led by Drs. Flynn and Gurstein, and involves DSI researchers will develop data-driven tools to examine Canada's housing crisis.

The promise and pitfalls of synthetic data

December 14, 2021 | Article on synthetic data featuring research led by DSI team led of Raymond Ng, Jean-Francois Rajotte, and Rob Bergen.

DSSG 2022 Application Opens

December 6, 2021 | We are now accepting applications to the 2022 UBC Data Science for Social Good Program.

Drs. Portales-Casamar and Carenini team up to build NLP tools for pediatric psychiatry

November 18, 2021 | The UBC DSI is funding a collaboration between Drs. Elodie Portales-Casamar and Giuseppe Carenini that will apply the latest transformer models for clinical support tools.