Overview:
Nowadays, statisticians and health data scientists actively work together on the frontier of biological, medical, and public health research. The transdisciplinary collaboration not only develops the modern foundations of Health Data Science but also accelerates the pace of scientific discovery and innovation.
The 2nd CANSSI-NISS Health Data Science Workshop will be held on August 3-4, 2023. The two-day workshop brings statisticians and health data scientists from the U.S. and Canada together to explore current approaches and new challenges for learning Big Data in Health Data Science.
The two-day workshop consists of two keynote presentations, three themed invited sessions, a poster competition for students and new researchers, and a banquet/dinner on the first day.
Keynote speakers:
Invited Sessions:
Session 1: Statistical Methods for Precision Health
Michael Wallace, University of Waterloo
Jeremy Taylor, University of Michigan
Eleanor Pullenayegum, U Toronto, Hospital for Sick Children
Rob Deardon, University of Calgary
Session 2: Causal Inference for Big Health Data
Debashis Ghosh, Colorado School of Public Health
Lan Wen, University of Waterloo
Shu Yang, North Carolina State University
MireilleSchnizer and Cong Jiang, Université de Montréal
Session 3: AI and Health Data Science
Ali Ghodsi, University of Waterloo
Qi Long, University of Pennsylvania
Rob Strawderman, University of Rochester
Grace Yi, Western U, Ontario
Registration Details
Full Registration Price: $270 CAD/$200 USD
Discounted registration fees for this workshop will apply to the following registrants. Please Contact Organizers through Eventbrite to receive your promo code for the discount.
- Conference Speakers
- CANSSI National Institutional Members
- NISS Affiliate Members
- Students currently enrolled at a university
Please Note: NISS affiliates can use their Affiliate Award Funds towards registration. Please get in touch with your NISS liaison (Check the List of NISS Affiliates) to learn more about these funds. Registrants from NISS-affiliated institutions are eligible for reimbursement after the workshop.
Accommodation Details
The organizers have booked two hotels for the accommodation of attendees for the earliest arrival on Tuesday, 01 August 2023 - latest departure on Saturday, 05 August 2023. The following details include information on hotels, room rates, and parking. Please see the full conference accommodation details available here:
On-Campus Accommodations:
Hotel Accommodations:
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Lingzhou Xue
Penn State University
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