a16z Podcast• Nov 6, 2025• 44:43Interview

Mark Zuckerberg & Priscilla Chan: How AI Will Cure All Disease

From a16z Podcast

Mark Zuckerberg & Priscilla Chan•Co-Founders, Chan Zuckerberg Initiative

Executive Summary

The Chan Zuckerberg Initiative (CZI) is a philanthropic organization with the ambitious goal of helping the scientific community cure, prevent, and manage all diseases by the end of the 21st century.
CZI's core strategy is not to fund individual research grants, but to build foundational tools, standardized datasets, and large-scale computational infrastructure to accelerate the entire field of basic science.
A central focus is the convergence of AI and biology, specifically by creating purpose-built biological datasets to train advanced AI models, with the ultimate goal of creating a 'virtual cell' for in-silico experimentation.
After a decade of operation, CZI is doubling down on its science investments, citing them as having the highest returns, and is positioning itself to fill a unique niche that traditional government funding and for-profit ventures do not address.

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Concerns Raised

The inherent complexity and long time horizons of fundamental biological research.
The historical lack of standardized tools and datasets in the scientific community.
Initial skepticism from scientists about the feasibility of CZI's ambitious goals.
The challenge of measuring progress and success in philanthropy compared to for-profit ventures.

Opportunities Identified

Leveraging AI and large-scale compute to model and simulate complex biological systems.
Creating foundational, open-source datasets and tools that accelerate the entire scientific field.
Developing a 'virtual cell' to de-risk and speed up biological experiments.
Filling a critical funding and infrastructure gap not addressed by government or industry.

Key Themes

Tool-Building as a Catalyst for Science

CZI's primary theory of change is that major scientific breakthroughs are preceded by the invention of new tools. Rather than funding individual projects, they focus on creating shared, open-source tools and platforms (like the Cell by Gene atlas) to empower the entire scientific community.

This approach addresses a systemic gap in scientific funding, where long-term, high-cost tool development is often neglected, and aims to create a compounding effect on the pace of discovery across all of biology.

The Convergence of AI and Biology

CZI is strategically pairing frontier biology with frontier AI. They are creating novel, high-quality datasets specifically for training next-generation AI models, such as VariantFormr for predicting CRISPR edits and diffusion models for generating synthetic cells.

This fusion is critical for tackling the immense complexity of biological systems. By building both the data and the models, CZI aims to unlock predictive and reasoning capabilities that could transform drug discovery and basic research.

The Virtual Cell as the Next Frontier

A major long-term goal is the creation of a comprehensive, simulated 'virtual cell'. This hierarchical model would integrate data from proteins up to entire systems, serving as a new kind of computational 'model organism' for research.

A high-fidelity virtual cell would allow scientists to test riskier hypotheses, generate predictions, and run experiments in-silico, dramatically reducing the time and cost associated with traditional wet lab work and accelerating the research cycle.

Philanthropy Filling a Unique Niche

The speakers position CZI's work as distinct from both government funding (which is often siloed into smaller, near-term grants) and for-profit biotech. CZI takes on long-term, high-risk infrastructure projects that are foundational but may not have a direct commercial incentive.

This philanthropic model allows for patient capital to be deployed against fundamental problems, like data standardization and tool creation, that are essential for the entire ecosystem but are unlikely to be solved by other actors.

Creating a 'Periodic Table' for Biology

The initiative aims to create standardized, foundational references for biology, analogous to the periodic table in chemistry. The Cell by Gene atlas, which maps all human cell types, is a prime example of this effort to bring order and a common language to a complex field.

The lack of standardized references in biology is a major bottleneck. Creating these 'maps' enables data interoperability, large-scale analysis, and a more systematic approach to understanding health and disease.

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Topics

Chan Zuckerberg Initiative (CZI)AI in Biology Computational Biology Virtual Cell Cell Atlas Cell by Gene Biohubs Scientific Philanthropy Tool Development Genomics Transcriptomics Protein Folding CRISPR VariantFormr Scientific Funding Data Standardization

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