The AI Genomics program is a 12-week intensive that enables life sciences students and recent graduates to gain an understanding of the science and the language behind AI in order to apply it in the field of genomics.
What You Gain
The AI Genomics program offers practical learning opportunities through interactive activities and workshops. You will learn how AI and machine learning can be used for data analysis; develop working machine learning prototypes for areas of interest; understand the ethical implications of AI – while expanding your network of startups and biotech scientists looking for co-founders and team members.
Active learning & workshops
Networking & speed-dating for job opportunities
Through this program, I realized that many genomics problems could be solved through machine learning. We gained a strong understanding of the entire process of building AI models to accelerate genomics research.”
Qifei Zhao, Program Alumnus, BSc. in Computer Science
The program is composed of 12 units offered online via live stream. Each unit is a 2-hour session with at least 30 minutes dedicated to interactive activities, moderated by instructors. Participants will be required to work on interactive activities, pre-reads and building a prototype of their model. The program will culminate with a ‘demo day’ to showcase your work with the opportunity for prizes.
Areas of interest in genomics
Machine learning bootcamp
Data discovery, accessibility, & storage
Validation & ethical Considerations
Building a model prototype
Demo day & networking session
Coaches & Mentors
Life Sciences Fellow & Biohub Manager, District 3
Mahzad Sharifahmadian is the Life Sciences Fellow and Biohub Manager at District 3. She empowers life sciences researchers to bring their research to market, and has built a network of research experts for collaboration and co-creation to solve societal and industry challenges.
She holds a Ph.D. in Biochemistry & Molecular Medicine from Université de Montréal, with expertise and publications on the design and development of novel drugs for antibiotic-resistant infections. While finishing her Ph.D., she co-founded Rubisco, a biotech company offering point-of-care diagnosis of pathogens (dissolved in 2018).
AI Fellow & Co-Founder, District 3
Sydney is a Montreal native with a strong desire to grow the Montreal innovation ecosystem. Having completed his studies in Psychology, Business, and Computer Science he developed a strong passion for emerging technology, entrepreneurship, and innovation.
In 2012, Sydney became one of the co-founders of District 3 and has played an active role ever since. His responsibilities include managing a program to help Montreal teams participating in the AI XPRIZE, an international competition that asks teams to solve grand challenges using Artificial Intelligence. Having got a taste for innovation and technology, Sydney also co-founded NeuroTechX, a non-profit organization that has built the largest network of international neurotechnology enthusiasts. In his spare time, Sydney is a core organizer of the DEF CON Biohacking Village, as well as is a mentor for the Mozilla Open Leadership Program.
Andy believes that innovative technology can bring a life of abundance and freedom for humanity. In his role as AI Fellow Assistant at District 3, he works as Canada Eastern Coordinator in the global competition ANA Avatar XPRIZE. He is also collaborating and co-designing a program to apply artificial intelligence on genomics and other applications around AI for Social Good.
Currently, Andy contributes to bringing diversity and innovative momentum into the Montreal ecosystem, collaborating and designing initiatives for the benefit of humanity and the planet like hackathons about AI for Good, Climate Changes, and Open Innovation. In the last five years, he has studied in Innovation Management at HEC Montreal University, Design Thinking for Innovation (University of Virginia), and several other studies around exponential technologies and its implications in business design for a positive impact in society.
A background in life science is required with an initial understanding of programming in python. Preference will be given to those who are already in teams of 2-3 people.
The program is from January 20-April 13 2020. You must be able to commit to 15 hours/week, 3 hours of workshops and 12 hours of additional work per week.
The only cost is an administrative fee of $20 due upon admittance.
This program does not give you credits towards your degree, but you will receive a certificate of completion.