Thank you for coming to the 5th Molecular Machine Learning Conference! See you next year!
Our Mission
The Molecular Machine Learning Conference is a biannual gathering of researchers across academia and industry who share the goal of advancing how machine learning methods can address key scientific goals related to molecular modeling, molecular interactions, and more broadly therapeutic design. Through a combination of engaging talks and poster presentations, conference provides an open and lively place to discuss, learn, and innovate, for students and experts alike.
2024 Speakers
Agenda
8:45 am — 9:30 am
Check-In
—
9:35 am — 10:00 am
Session I: State of the discipline of therapeutic antibody engineering
10:00 am — 10:30 am
Session II: Programmable Protein Therapeutics
via Generative Language Models
12:00 pm — 1:00 pm
Lunch break
—
1:00 pm — 1:30 pm
Panel: How far can Evolutionary Information go?
Pranam Chatterjee, Duke University
Mathai Mammen, Parabilis Medicines
Nicholas Polizzi, Harvard University
Karl Dane Wittrup, MIT
1:30 pm — 2:00 pm
Session III: Uncharted Territory - Conquering Impossible Targets with Helicon Peptides
2:00 pm — 2:30 pm
Session IV: Ligand-aware protein design using reinforcement learning
2:30 pm — 3:30 pm
Poster Session II
Accepted paper authors
In Memoriam
1987 - 2022
The MoML Conference is organized in the name of Octavian-Eugen Ganea, whose scientific work and drive to help others closely exemplified the goals of this conference. To honor his life and his work, we award the Octavian-Eugen Ganea Prize for Best Paper every year.