Date: Oct. 14, 2026
Location: Luria Auditorium, Koch Institute for Integrative Cancer Research
Registration Notification
The Molecular Machine Learning Conference is a biannual gathering of researchers across academia and industry who share the goal of advancing how machine learning 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.
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 work, we award the Octavian-Eugen Ganea Prize for Best Paper at the MoML Conference at MIT every year.
Regina Barzilay is a School of Engineering Distinguished Professor for AI and Health in the Department of Electrical Engineering and Computer Science (EECS) at MIT. Since 2018, she has been the AI faculty lead for the Jameel Clinic and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL). Her research interests are in…
Andrea Bild, Ph.D., serves as professor in the Division of Molecular Pharmacology within the Department of Medical Oncology & Therapeutics Research at the City of Hope. Dr. Bild’s research program focuses on cancer, and uses large-scale translational genomic and pharmacological studies to interrogate and treat tumor heterogeneity and evolution to refractory states. She has led multiple collaborative groups with the goal of characterizing and treating cancer.
Computer scientist, electrical engineer, inventor, technologist, serial tech entrepreneur, and angel investor. Alexander Bronstein is a Professor of Computer Science at the Technion, where he holds the Dan Broida Academic Chair and the Schmidt Chair in Artificial Intelligence, and a Professor at the Institute of Science and Technology Austria. He is also a Fellow of the IEEE for his contributions to 3D imaging and geometry processing.
Michael Bronstein is the DeepMind Professor of AI at the University of Oxford and Founding Scientific Director, AI at the Aithyra Institute in Vienna. He was previously Head of Graph Learning Research at Twitter, a professor at Imperial College London and held visiting appointments at Stanford, MIT, and Harvard. He has been affiliated with three…
Cecilia Clementi is an Italian-American scientist who specialises in the simulation of biomolecules. She is a Professor of Theoretical and Computational Biophysics at the Free University of Berlin. She was previously a Professor of Chemistry and Physics at Rice University and co-director of the National Science Foundation Molecular Sciences Software Institute. From 2017 to 2019, she held an Einstein Foundation fellowship. In 2020 she was appointed Einstein Professor of Physics at Freie Universität Berlin.
Wesley Hsieh co-leads the development of generative biomolecular foundation models, including the DPLM and PAR series at ByteDance Seed. His research spans the fields of machine learning, computer vision, and AI for scientific discovery, with a core focus on developing large-scale generative foundation models. He specializes in leveraging diffusion and language models to advance a wide range of applications, from biomolecular modeling to video generation.
The 2026 MoML Conference @ MIT will be held in the Luria Auditorium, located in the Koch Institute for Integrative Cancer Research. The date is Wednesday, Oct. 14, 2026. Public parking is available in Hayward Garage, but we recommend using public transit if possible to get to the venue.
The Boston Marriott Cambridge and the Kendall Hotel are both great options and just 5 minutes walking from the conference location.
Unfortunately, we don’t currently offer travel stipends though we hope to change this for future events. For students along the Northeast Corridor, Amtrak offers a 15% student discount.
As with prior years, this year’s MoML Conference will be in-person so there will be no option to attend virtually.
As MoML 2026 @ MIT does not have official proceedings, submitting a paper you have already submitted to another conference that does have official proceedings does not violate any dual submission policies.
Students with accepted papers should bring posters between 36 inches x 28 inches and 48 inches x 36 inches. Attendees with accepted papers are welcome to use poster templates linked here.
There is free admission available to students and postdocs with accepted research papers.
If you are not planning to submit a paper, but are a non-MIT student or postdoc interested in attending the conference, we have limited free admission so please register via the Waitlist as soon as possible.
If you registered for a ticket but are not seeing it appear in your inbox, please check your junk/spam folder first for your ticket and add jclinic-info (at) mit.edu as a contact. If your ticket is not in your junk/spam folder, please reach out to us!
Registrations linked to credit card transactions are not transferable, but students and postdocs admitted via Waitlist may request to transfer their admission to someone else at least two weeks prior to the event.
If you’re interested in sponsoring the MoML Conference at MIT, please reach out to jclinic-info (at) mit.edu.
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 as long as documentation showing visa denial/restrictions is shown.
There will be meals and snacks provided to attendees at the conference venue throughout the event. Please note any dietary restrictions in the form when registering for the event.