• All participants must co-register for Winter RosettaCon (Keystone Symposia).

• Participants must have prior machine learning experience. Admission is by application: applicants with a well-scoped project plan will be invited to register.

• Academic students and researchers (Rosetta Commons members): A limited number of seats are reserved for Rosetta Commons trainees. Workshop registration is free, and shared lodging is covered by Rosetta Commons under the Winter RosettaCon policy (register with Keystone and present a poster or talk). Airfare and other travel costs are not included.

• Academic students and researchers (Rosetta Commons non-members): $800 registration fee; lodging is not included. 

• Industry: $1,500 registration fee (this helps support event sustainability and is separate from the Keystone registration fee). Lodging and travel are not included. 

Please see the Travel Guide for more information about lodging and airfare.

Prep Work & Course Details

How will the event be taught?

Unlike traditional bootcamps, this program combines elements of both a bootcamp and hackathon—there is no formal instruction. Instead, participants will work in a high teacher-student ratio environment with a diverse team of experts providing guidance. Students must come prepared with a well-scoped project, a suitable dataset, and a solid understanding of existing models. Models train during Winter RosettaCon, and the group meets again after the conference to analyze results and plan next steps.

What are the expected learning outcomes?

Participants will gain practical experience in training models tailored to their specific research needs, learning about the process, key variables, limitations, and possibilities of model development.

Is there any prep work?

Three required virtual preparatory meetings (late February - March 2027) will help participants scope their project, prepare training/validation/testing data, and ensure readiness to dive in. Participants are encouraged to install all necessary tools and resources on their lab or company clusters. 

More information about prep work and course details will be available closer to the event date.