Artificial Intelligence for Genomics
January 20th - April 13th
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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?
What you gain from the program
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Capability to read a Machine Learning Genome paper and understand it
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Know the standard structures of data to be used with Machine Learning tools
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Methodologies to discover and validate problems
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Propose a potential application of Machine Learning within a Genomics Project
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Basic understanding of Human-AI Interaction
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Ethics of AI
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​Working as a team to develop ML solutions & cash prizes for top three projects
12 Week Journey
Week 1
Onboarding
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Meet Partners
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Meet Cohort
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Python Primer
Week 2-3
ML Genomics
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Current areas of interest
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ML Boot camp
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How can AI be used in LS
Week 4
Week 5
Data
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Data discovery
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Accessing data quality
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Data Cleaning
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Data storage
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Different data modalities
Validation
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Need validation Human AI Interaction ethically designed
Week 6-11
Week 12
Building
Demo Day
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Work with Genome Project to make sense of data and gather insights.
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Prototyping
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Demo of projects
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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
