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
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
Current areas of interest
ML Boot camp
How can AI be used in LS
Accessing data quality
Different data modalities
Need validation Human AI Interaction ethically designed
Work with Genome Project to make sense of data and gather insights.
Demo of projects
Networking with ecosystem players
Sydney Swaine Simon
AI District Fellow and Cofounder of Neurotech X.
Life Sciences Fellow
Joseph Paul Cohen
Program Scientific Advisor, Postdoctoral Fellow, Mila, University of Montreal
Postdoctoral Research Scientist at Montreal Heart Institute and Mila
PhD student, Mila, University of Montreal
IVADO assistant professor, Faculty of Medicine, Université de Montréal
AI District Fellow Assistant