Chan Zuckerberg Initiative

Over the past decade, CZI has built technologies to observe and program biology, created large-scale data resources, and developed tools that accelerate discovery — all with a commitment to open science. With advances in AI, we’re entering the next evolution of our science work — and giving it a name that reflects both the history of our organization and our vision for the future: Biohub Moving forward, Biohub will be Mark and Priscilla’s primary philanthropic effort, dedicated to building frontier AI for frontier biology. For nearly a decade, our Biohub model has brought together world-class scientists and engineers to develop breakthrough tools. Now, we’re expanding that model — combining cutting-edge AI tools with large-scale compute dedicated to biological research. This positions Biohub to become the first research lab uniting AI and biology to accelerate discovery — and share everything it produces openly with the world. Science moves faster when people, tools, and data come together, and that’s exactly what Biohub makes possible. We’re excited about this next chapter of our science work, and. follow along for updates Biohub.

Patient communities are changing the future of rare disease research. Since launching in 2019, the #RareAsOne Network has championed patient-led science that transforms lives. The new Cycle 2 Impact Report celebrates 20 organizations that: ✅ Engaged 6,000+ researchers ✅ Launched 13 registries & 12 natural history studies ✅ Collaborated with 65 industry partners ✅ Supported 150+ research projects Learn more about how patient-led innovation is driving more efficient, impactful, and translational biomedical discoveries: https://czi.co/3Lh6Xgs

⏰ The deadline is approaching to apply to be an Investigator at the New York Biohub!

Thrilled to share our expanded collaboration with NVIDIA Healthcare at #NVIDIAGTC to accelerate virtual cell model development for unlocking new insights about human biology. Through our virtual cells platform, researchers can now explore large, harmonized datasets, access AI-powered models like CZI’s rBio and GREmLN and NVIDIA’s MONAI-based imaging models and CodonFM, and benchmark their own models with cz-benchmarks — all tools that empower researchers to understand disease at the cellular level and test new ways to prevent or treat it. We’re in an era where AI can help drive biology forward, and it’s exciting to see how these advances are enabling community-driven breakthroughs.

Science should be open and inclusive by design. 💡✨ As we close out this year’s Open Science meeting, we can’t help but feel inspired by the leaders who have shown us that open science is not just about access, but about agency, empowering people everywhere to create, collaborate, and contribute to discovery. From the lively discussions to innovative project showcases, this week reaffirmed that shared data, tools, and ideas spark new connections and accelerate discovery. #OpenScience #TeamCZI #Collaboration #Community

We’re so proud to see Priscilla Chan be part of #WSJInnovators for her leadership in basic science research. Every day, she brings curiosity, compassion, and focus to advancing our mission to help scientists cure, prevent, or manage all disease. Congratulations, Priscilla — and thank you for inspiring us all.

We’ve been proud to support David Fajgenbaum, MD, MBA, MSc since the early days of our Rare As One Network. After surviving Castleman disease, David helped build a patient–researcher community that uncovered a treatment keeping him in remission for 15 years. Today, through the Castleman Disease Collaborative Network and Every Cure, he’s using AI to uncover new uses for existing drugs — opening up possibilities for treatments for people with rare diseases.

There’s a problem with AI for biology: every lab collects data differently, so it’s difficult to combine everything into one big picture that AI can learn from. To solve this, we outlined a strategy for collecting and sharing data so scientists can more easily use AI to study cells. https://czi.co/4n86I4s #AI #ML #Biology #science #data

⏰ One month left to submit applications for these two-year research projects in the Biohub Network! Deadline: November 13, 2025