A new Perspective in Cell, co-authored by HIP Co-Chief Science Officer John Tsang alongside leading researchers from Columbia, Stanford, and the Chan Zuckerberg Initiative, tackles one of the biggest open questions in biomedical AI: why hasn’t generative AI’s success in protein folding translated to predicting how cells and tissues actually behave? Drawing inspiration from Hilbert’s landmark…
Decoding the immunome has been science fiction—until now
With deep immune profiling + AI, we can better predict and understand both health and disease. This is the future of medicine.
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Meet the scientists and strategists mapping human immune diversity
Meet the scientists and strategists mapping human immune diversity
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Strategic Approach
Strategic Approach
Our scientific plan offers an actionable roadmap to understand immune variability across the globe:
Build: Build the MVP tools and platform that become the global standard for deep immunological profiling.
Generate: Generate HIP standardized data and create the models that will quantify and predict immune states.
Facilitate: Accelerate translation of new biomarkers, new druggable targets, and new reference ranges for pharma and clinicians.
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HIP Banbury Series – Cold Spring Harbor, 2025
This series of conversations was recorded at the Banbury Center in November 2025, when HIP convened the world’s leading systems immunologists to advance our mission to decode human immunity for all.