
MoML 2024
Molecular Machine Learning Conference
Our Mission
This conference brings together students, experts, and leaders across
areas with the goal of advancing how machine learning methods can
address key scientific goals related to molecular modeling, molecular interactions, and therapeutic design. The conference provides an open
and lively place to discuss, learn, and innovate, for students and
experts alike.
Conference Playlist
MoML 2024: Opening Remarks
Speakers: Dominique Beaini & Jonathan Hsu
Geometric Deep Learning for Protein Understanding
Speaker: Jian Tang
Polaris: Industry-Led Initiative
to Critically Assess ML for Real-World Drug Discovery. Speaker: Cas Wognum
Efficiently Exploring Combinatorial Perturbations
From High Dimensional Observation. Speaker: Jason Hartford
Leveraging Molecular ML
+ Property Prediction in Drug Design. Speaker: Raquel Rodríguez-Pérez