QBI
@QBI_UCSF
QBI seeks to transform our understanding of biology and disease through quantitative research. Follow us on Instagram @qbi_ucsf
Dr. Nguyen Hoai of Vietnam National University spent a few months with us as a QBI International Visiting Scholar. In this Q&A, she reflects on her inspiring time in San Francisco at @UCSF and @GladstoneInst. Read the full recap: qbi.ucsf.edu/hoai-nguyen-fe…




We’ve enjoyed having Hoai Nguyen as a visiting scholar this summer! Join us July 14 as she wraps up her time at QBI and @GladstoneInst with a seminar on her team’s CRISPR-based dengue virus diagnostic assay. qbi.ucsf.edu/seminar-hoaing… #GlobalHealth #CRISPR #Dengue

What an inspiring two days at the QBI/@Rezo_Tx “Separating the Signal from the Noise: AI in Biology” symposium! From AI-driven drug discovery to protein design & spatial proteomics, the ideas flowed and the community showed up. Grateful to all who joined and helped make this…




Coming soon: Ali Bashir (@rezotx), Head of Comp Bio & AI and co-organizer of the AI in Biology symposium, takes the stage at @UCSF! He’ll share how Rezo uses AI + network biology to uncover novel disease targets, plus why most scientists can benefit from AI in their workflows.…


Excited to welcome Lazar Atanackovic (@UofT/@VectorInst) to next week’s AI in Biology symposium! He’ll share how AI can model, understand, & control how cells change, highlighting that control may mean true understanding...! June 17–18 at @UCSF: qbi.ucsf.edu/ai-symposium-2……


Dari Kimanius (@czbiohub) is joining us at @UCSF for next week’s AI in Biology symposium in just a few days! He’ll share how ML is advancing in situ Cryo-ET and how foundation models are enabling high-throughput discovery. See full speaker lineup: qbi.ucsf.edu/ai-symposium-2……


Longtime collaborators Steven Altschuler & Lani Wu will share how AI helps map cell phenotypes for early drug discovery, while stressing the need for biological validation. Hear them at the “AI in Biology” symposium @UCSF, June 17–18. qbi.ucsf.edu/ai-symposium-2… #QBI #AIinBiology…


Next week at @UCSF: Brian Cheung @thisismyhat of @MIT will share how large language models can grasp the real world, even without seeing or hearing a thing! Catch him at the QBI/@rezo_tx “AI in Biology” symposium June 17–18. Few tickets left: qbi.ucsf.edu/ai-symposium-2… #QBI…


Meet Cecilia Clementi @CecClementi, Physics Prof at @FU_Berlin + speaker at the QBI/@rezo_tx “AI in Biology” symposium next week! She’ll share how machine learning can model protein dynamics, and why blending theory + experiment is more powerful than ever. Join us June 17–18…


Meet Anil Palepu, Research Scientist at @Google and speaker at our QBI/@rezo_tx “AI in Biology” symposium on June 17-18! Register to join: qbi.ucsf.edu/ai-symposium-2… #SpeakerSpotlight #QBI #AIinBiology #RezoTherapeutics #ScienceSymposium #BiotechInnovation


Meet Angela Oliveira Pisco, Head of Computational Biology at @insitro and speaker at our QBI/@rezo_tx “AI in Biology” symposium on June 17-18! Register to join: qbi.ucsf.edu/ai-symposium-2… #SpeakerSpotlight #QBI #AIinBiology #RezoTherapeutics #ScienceSymposium #BiotechInnovation


Join us June 17–18 at UCSF for “Separating the Signal from the Noise: AI in Biology” — a 2-day symposium with speakers from @Google, @Insitro, @MIT, @Genentech, @CZI, @FU_Berlin, @UofT, @AmiiThinks, @UCSF, & @rezo_tx! Save your seat now: qbi.ucsf.edu/ai-symposium-2…

From AI-driven discoveries to building a collaborative ecosystem, QBI Director Nevan Krogan shares his vision for the future of science-and why Berlin is an exceptional partner in that mission. Read the full Q&A by the Einstein Foundation: einsteinfoundation.de/en/questionnai…
QBI & Thermo Fisher are hosting a Lunch & Learn on May 9 at @UCSF! Learn how to set up robust quantitative proteomics experiments using cutting-edge mass spectrometry with insights from Kevin Yang & Rafael Melani. Lunch included! Learn more & register: qbi.ucsf.edu/qbi-thermo-fis…

New antivirals from @UCSFPharmacy and @GladstoneInst just beat Paxlovid in early tests against the coronavirus and could stop the next pandemic before it starts. tiny.ucsf.edu/JBm9vy