Join us for an AIxBio Hackathon in Kendall Square!
Evolved Boston brings AI researchers, engineers, and scientists together with cutting-edge computational tools to tackle high-priority challenges in biotech and clinical development, for a day of rapid innovation.
Get full access to pre-trained models and GPUs, collaborate with peers and industry mentors, and build new AI projects in biology and healthcare.
Don't miss this opportunity to build with top AI models and test out new ideas entirely free of charge!
Whether you want to sharpen your skills, launch a new project, recruit new hires, or network with leaders in AI and biotech, Evolved Boston is the place to be.
Event details:
When: Friday, October 24th, all day
Where: LabCentral 238
Schedule:
Doors open: 8:30am GPU and model access begins: 9:00am3-minute Project Pitches: 5-6pmCelebration and Networking Reception: 6:00pm After party: 7:00pm onwards
GPU and model access will be available until Saturday, Oct 25th, at 9:00am.
Final Project submissions due: Saturday, Oct 25th, 11:59pm
Models provided:
NVIDIA BioNeMo Framework$100 voucher for the Nebius AI StudioSelected NVIDIA NIMs
Register now! Registration for the first 100 qualified registrants will be confirmed by Monday, October 20th.
Learn more at evolvedtechnology.org.
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.