About this Event
Are you a scientist in life sciences with GBs of exciting imaging (microscopy, cryoEM, MRI, X-Ray, etc.) or mass spec data that you need help processing but don't know how to code? Maybe you want to automatically segment cells/organs/particles or denoise and cluster your data? Maybe see if the deepest of the networks may be useful for your processing? Maybe generate a user-friendly interface for some command line tools you have been using?
Or Are you a computer scientist with some experience in image processing, ML/DL? Do you love transformers, attention, LLMs, FFTs, SVMs, CNNs, RNNs, topological data processing or just writing code and making beautiful GUIs? Do you find biology fascinating and want to see how YOU can apply your skills to push the current boundaries of biology forward? Come join us at our hackathon!
The QBI hackathon is a 48-hour event connecting the vibrant Bay Area developer community with the scientists from UCSF, UCB and UCSC, during which we work together on cutting edge biomedical problems. Advances in computer vision, AI, and machine learning have enabled computers to pick out cat videos, recognize people’s faces from photos, play video games and drive cars. More recently, application of deep neural nets to protein structure prediction completely revolutionized the field. We look forward to seeing how far we can push science ahead when we apply these latest algorithms to biomedically relevant light microscopy, electron microscopy, and proteomics data. If you love FFTs, transformers, language models, topological data processing, or simply writing code, this is your chance to apply your skills to make an impact on global healthcare. Beyond the actual event, we hope to establish a better connection between talented developers and scientists in the Bay Area, so that we can work together and learn from each other.
Find out more on our website: https://qbi.ucsf.edu/events/hackathon-2026
Event Venue & Nearby Stays
Mission Hall UCSF, 550 16th Street, San Francisco, United States
USD 0.00
