Artificial Intelligence for Genomics

January 20th - April 13th

Application Deadline December 15th 2019

Artificial Intelligence is the next big player in Genomics and your career. 

Are you a graduate student or a recent graduate with experience in Genomics and interested in Artificial Intelligence?

12 week program.PNG

12 Week Program

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Inclusive to all areas of Genomics

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Fundamentals of building machine learning models for a Genomics project

What you gain from the program

  • Capability to read a Machine Learning Genome paper and understand it

  • Know the standard structures of data to be used with Machine Learning tools

  • Methodologies to discover and validate problems

  • Propose a potential application of Machine Learning within a Genomics Project 

  • Basic understanding of Human-AI Interaction

  • Ethics of AI

  • Working as a team to develop ML solutions & cash prizes for top three projects

12 Week Journey

Week 1 

Onboarding

  • Meet Partners

  • Meet Cohort

  • Python Primer

Week 2-3 

ML Genomics

  • Current areas of interest

  • ML Boot camp

  • How can AI be used in LS

Week 4 

Week 5 

Data

  • Data discovery

  • Accessing data quality

  • Data Cleaning

  • Data storage

  • Different data modalities 

Validation

  • Need validation Human AI Interaction ethically designed

Week 6-11 

Week 12

Building

Demo Day

  • Work with Genome Project to make sense of data and gather insights.

  • Prototyping 

  • Demo of projects

  • Networking with ecosystem players

 
 

Sydney Swaine Simon

AI District Fellow and Cofounder of Neurotech X.

Mahzad Sharifahmadian

Life Sciences Fellow

Joseph Paul Cohen

Program Scientific Advisor, Postdoctoral Fellow, Mila, University of Montreal

 Ahmad Pesaranghader

Postdoctoral Research Scientist at Montreal Heart Institute and Mila

Paul Bertin

PhD student, Mila, University of Montreal

Julie Hussin,

PhD Bertin

IVADO assistant professor, Faculty of Medicine, Université de Montréal

Andy Manel

AI District Fellow Assistant

Frequently Asked Questions.