The insitro Story
Machine learning is hugely transforming the world around us, but life sciences have benefited only in limited ways. Two critical gaps have underlied the slow adoption: data and people. We have built insitro to try and address both.
Key to the deployment of powerful ML is the availability of large, high-quality, multi-modal datasets. Transformative new technologies, both in the lab and in the clinic, are enabling, for the first time, the creation and aggregation of disease-relevant, multi-modal data at unprecedented fidelity and scale. Equally important is to create a culture that fosters cross-disciplinary innovation, where people can bridge the chasm between life science and data science and identify not only new solutions, but the right problems.
Our group of talented, passionate insitrocytes work together to create the right data resources and develop the machine learning tools to interpret and interrogate them. By bringing together rich data and powerful methods, we can unravel the complexity of disease biology and derive causal insights that empower and accelerate our search for transformative medicines.
Our CEO Daphne Koller founded insitro in 2018 to harness these developments on behalf of the many patients in need.
Learn more about our founding story from Daphne’s blog post.