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An AI Startup Story: Creating new Engagement Models in Pharma Marketing

February 13, 2023

Speakers:

Helen Kontozopoulos

When starting a startup, you think you know who your customers will be from day one.

Learning from Data in Single-Cell Transcriptomics

February 13, 2023

Speakers:

Sandrine Dudoit

The ability to measure gene expression levels for individual cells (vs.

Human Populations and Gene Mapping, Some Novel Directions

January 30, 2023

Speakers:

Chiara Sabatti

Identifying which genetic variants influence medically relevant phenotypes is an important task both for therapeutic development and for risk predi

Introduction to Explainable AI: Techniques & Design

January 30, 2023

Speakers:

Vera Liao

As Artificial Intelligence (AI) technologies are increasingly used to make important decisions and perform autonomous tasks, the need to provide ex

Teaching Reproducibility and Responsible Workflows

January 16, 2023

Speakers:

Nicholas Horton

Modern statistics and data science utilizes an iterative data analysis process to solve problems and extract meaning from data in a reproducible ma

Enhancing User Experience Using AI for Adaptive A/B Testing

December 12, 2022

Speakers:

Joseph Jay Williams

This talk will consider how we can continuously enhance and personalize any real interface using AI for adaptive A/B testing.

Artificial Intelligence in Health Event Banner

Artificial Intelligence in Health: Research and Applications in Toronto

November 28, 2022

Speakers:

Muhammad Mamdani

While the application of artificial intelligence (AI) has transformed numerous sectors including retail, transportation, and hospitality, its appli

New Advances in Genetic Risk Prediction: Model Fine-Tuning, Benchmarking, and Portability

November 17, 2022

Speakers:

Qiongshi Lu, University of Wisconsin-Madison

Genetic risk prediction is a major focus in human genetics research.

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.

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