Announcing the Machine Learning for Drug Discovery Summer School
5 days of programmed lectures from folks like Yoshua Bengio, Michael Bronstein, Anne E. Carpenter, and more, followed by MoML 2024 and a hackathon!
Hi everyone 👋
It’s not Friday but we promise we’re sending this notification for good reason!
We are so excited to announce the inaugural Montreal Machine Learning for Drug Discovery Summer School happening at Mila from June 12th to 21st. Here’s what you can expect:
June 12th - 18th
We’ll start the summer school with 5 days of programmed lectures to provide hands-on training related to the following topics:
Foundations and ML in Ligand-Based Modeling
ML in Structure-Based Drug Discovery
Generative Models and Molecular Design
Target Discovery and Deconvolution
Frontiers in AI for Drug Discovery
These modules will be taught by 20+ researchers across industry and academia. Some of the professors include Yoshua Bengio, Michael Bronstein, Anne E. Carpenter, Bharath Ramsundar, Philippe Schwaller, and more. To view the full program details and instructors, check out the website here.
June 19th
To recap the learnings from the lectures, we’ll be hosting the 2024 Molecular Machine Learning Conference on June 19th!
This conference brings together students, experts, and leaders across areas to advance how machine learning methods can address key scientific goals related to molecular modeling, molecular interactions, and therapeutic design. To keep up with the rapidly evolving pace of innovation in molecular machine learning, this conference happens twice a year, once at MIT and once at Mila.
Last year we welcomed 165+ attendees from 59 universities and 21 companies. We’re expecting this year to be even bigger and better. Keynote speakers include Jian Tang (Mila), Christine Allen (University of Toronto), Max Jaderberg (DeepMind), and Raquel RodrÃguez Pérez (Novartis). See the agenda here.
There will also be opportunities to present posters again so be sure to submit your papers by midnight ET on April 29th. We are accepting 1-page abstracts with up to 4 pages of optional appendices.
As always, MoML will be 100% free for students. Get your tickets here.
June 20th - 21st
To cap off the summer school programming, we’ll be running a 2-day hackathon where you will be placed in teams of 4-5 and assigned a mentor to see who can create the best-performing ML model for small molecule property prediction tasks.
Logistical Notes
Registering for the summer school will automatically grant you access to the 2024 MoML conference. However, if you are only interested in attending the conference, you can purchase those tickets separately.
We are also happy to announce scholarships for Black and Indigenous participants, courtesy of the CIFAR Inclusive AI scholarship. We encourage you to apply if it’s applicable to you.
If you have any questions about the summer school and the programming, please shoot us a message at jonathan@valencelabs.com.
You’ll hear from us again on Friday with our regular scheduled posts! Have a great rest of the week 👋