Our Mission
The Molecular Machine Learning Conference brings together researchers from academia and industry with 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.
Areas of Focus
Geometric machine learning of molecules
Molecular graph machine learning
Molecule/Protein 3D Structure Prediction and Processing
Modeling molecular interactions
Molecular dynamics
Machine learning for quantum chemistry
In Memoriam
The MoML4 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. This year, we are delighted to announce the Octavian-Eugen Ganea Prize for Best Paper.
FAQs
When/where is the conference being held?
The 2023 MoML Conference will be held in the Luria Auditorium, located in the Koch Institute for Integrative Cancer Research. Public parking is available in Hayward Garage, but we recommend using public transit if possible to get to the venue.
Where should I stay if I’m arriving from out-of-town?
The Boston Marriott Cambridge and the Kendall Hotel are both great options and just 5 minutes walking from the conference location.
Will there be a virtual option?
As with last year’s conference, this year’s MoML Conference will be in-person so there will be no option to attend virtually.
I am a non-MIT student. Is there a student discount?
There is free admission available to those with accepted research papers.
If you are not planning to submit a paper, but are a non-MIT student interested in attending the conference, we have limited free admission so please register via the Waitlist as soon as possible.
What is your cancellation policy?
Anyone cancelling their registration one month or more prior to the conference will be refunded in full.
Anyone cancelling up to three weeks prior to the conference will be refunded (if paid as part of the registration) any amounts paid over $200.
Anyone cancelling within three weeks prior to the conference and all no-shows will not be eligible for a refund.
Anyone cancelling due to governmental travel restrictions or failure to obtain a visa that prevents travel to the conference will be refunded the full amount paid regardless of when the notification is received.
