We seek to understand the programs of life across biological scales — from cells, to tissues, to organisms — by conducting research at the interface of machine learning and biology.
The Eric and Wendy Schmidt Center is enabling a new field of interdisciplinary research at the intersection of the data and life sciences, aimed at improving human health. Our researchers and partners work together to make the biological questions of our time key drivers for foundational advances in machine learning — and vice versa.
Areas of Focus
We are advancing the foundations of machine learning to answer fundamental biomedical questions.
Our fellows are computer scientists, applied mathematicians, and computational biologists who are rising stars in their respective fields. Apply to our postdoctoral fellowship.
Learn more about our fellows’ research on new machine learning methods motivated by problems in single-cell biology, drug discovery, and precision medicine.
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