March 29–April 01, 2027 | La Fonda on the Plaza, Santa Fe, NM, United States
Scientific Organizers:
Nicholas F. Polizzi, Torben Schiffner, and Amy E. Keating
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Scientific Organizers: Nicholas F. Polizzi, Torben Schiffner, and Amy E. Keating
Nicholas F. Polizzi, PhD
Dana-Farber Cancer Institute
Torben Schiffner
Scripps Research
Amy E. Keating, PhD
Massachusetts Institute of Technology
Important Deadlines
Meeting Summary
Presented in partnership with Open Rosetta Project at the Open Molecular Software Foundation
Keystone Symposia and Open Rosetta Project have come together to advance research in computational design and deep learning technology. Both partners invite contributions from scientists at all career stages across various fields.
The recent rapid progress in computational protein design promises to transform biotechnology, medicine, and sustainable chemistry, creating unprecedented opportunities to engineer proteins with novel, customized functions. At the same time, critical gaps remain such as the design of dynamic sensors, bespoke enzymes, and proteins with complex functions.
This Keystone Symposia meeting on Computational Design and Modeling of Biomolecules, developed in collaboration with Rosetta Commons, will catalyze collaborations that accelerate functional protein engineering. A defining feature of the program is its integrated focus covering data acquisition, automation, model development, and deployment. Attendees will learn about cutting-edge methods and applications in protein design, novel methods that combine deep learning with physical modeling, and emerging workflows for custom data collection and automated pipeline integration.
The meeting will foster collaboration across computational biologists, protein designers, AI and machine learning experts, small molecule chemists, and translational scientists creating opportunities for interdisciplinary exchange among academic researchers, industry scientists, technology developers, and trainees. Interactive program elements will include a hands-on AI model fine-tuning tutorial, career development panel, and manuscript-writing workshop designed to support both scientific innovation and professional growth.
The integrated focus on data generation, automation, and hybrid AI-physics modeling, combined with unique hands-on training and career-focused sessions sets this meeting apart. No existing forum simultaneously offers this comprehensive blend of technical depth, interdisciplinary networking, and professional development, making it the essential gathering for anyone seeking to lead the next wave of protein-design breakthroughs.
Check out the speaker highlights in the video below:
Unique Career Development Opportunities
This meeting will feature a Career Roundtable where trainees and early-career investigators will have the opportunity to interact with field leaders from across academic and industry sectors for essential career development advice and networking opportunities. Find out more about Career Roundtables here: https://www.keystonesymposia.org/diversity/career-development-initiatives
SPECIAL RECOGNITION:
KEYSTONE SYMPOSIA THANKS OUR SPONSOR(S) FOR GENEROUSLY SUPPORTING THIS MEETING:
KEYSTONE SYMPOSIA THANKS OUR MEETING EXHIBITOR(S):
KEYSTONE SYMPOSIA THANKS THESE DONOR(S) FOR GENEROUSLY SUPPORTING THIS MEETING:
THESE COMPANIES HAVE GENEROUSLY AGREED TO COVER THE EXPENSES OF THEIR EMPLOYEES WHO ARE SPEAKING AT THIS MEETING:
GRANT RECOGNITION:
KEYSTONE SYMPOSIA THANKS OUR GIFT-IN-KIND MEDIA SPONSORS
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