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Quantitative Modeling of Brain-Behavior Relationships

December 5, 2022

Speakers:

Amy Kuceyeski

The brain is arguably the most complex object in the known universe, with ~100 billion neurons and ~100 trillion connections, from which arise huma

Using Interpretable Machine Learning and Network Systems Approaches to Uncover Mechanisms Underlying Pathophysiology of Immune Disorders

November 28, 2022

Speakers:

Jishnu Das

Modern multi-omic technologies can generate deep multi-scale profiles.

Looks Okay to Me: A Study of Best Practice in Data Analysis Code Review

November 14, 2022

Speakers:

Kelly Bodwin

Education in statistical computing requires that we train students not only in programming skills and principles, but also in good data science hab

2022 Distinguished Lecture Series in Statistical Sciences

September 29, 2022 to September 30, 2022

Speakers:

Xihong Lin

CANSSI Ontario will host the prestigious Distinguished Lecture Series in Statistical Science (DLSS).

2022 CANSSI Ontario Research Day

September 29, 2022

The CANSSI Ontario Research Day will showcase the work and discoveries by the data sciences and statistics community in Ontario.

Random Structures and Patterns in Spatio-Temporal Data: Probabilistic Modelling and Statistical Inference

May 24, 2022

Speakers:

Radu Stoica

The useful information carried by spatio-temporal data is often outlined by geometric structures and patterns.

Development of a Trans-Ancestry Genetic Risk Score for Prostate Cancer

May 6, 2022

Speakers:

David Conti

Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations.

2022 Toronto Workshop on Reproducibility

February 23, 2022 to February 25, 2022

CANSSI Ontario, and the Data Sciences Institute at the University of Toronto (U of T) are excited t

Employing Social Media to Improve Mental Health: Pitfalls, Lessons Learned, and the Next Frontier

November 15, 2021

Speakers:

Munmun De Choudhury

Social media data is being increasingly used to computationally learn about and infer the mental health states of individuals and populations.

Opinionated Practices for Teaching Reproducibility: Motivation, Guided Instruction and Practice

October 25, 2021

Speakers:

Tiffany Timbers

In the data science courses at the University of British Columbia, we define data science as the study, development and practice of reproducible an

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