What they reported doing
- #1 primary $0RULES OF IMMUNITY, BIOINFORMATICS AND HUMAN IMMUNOME - COVID VACCINES INITIATIVE, EXTENSIVE IMMUNOLOGICAL DATA-SETS BY CLINICAL STUDIOS.
- #2 $0BASIC STUDY AND ANALYSIS TO THE INTRODUCTION OF IMMUNOME MONITORING KITS AND SITE ESTABLISHMENT EVALUATIONS.
What they call their work
What they do
-
Biomedical Research and Innovation 3 activities
- Applying AI and systems biology to model the immune systemCombining systems biology with artificial intelligence and machine learning to decode, analyze, and build predictive models of the human immune system. This includes hosting scientific summits—such as the Human Immunome AI Summit—and leading efforts to develop mechanistic models that support the transition to precision medicine.
- Conducting research on immune responses to vaccines and infectious diseasePerforming cutting-edge immunological research on COVID-19 vaccines, including generating and analyzing large-scale datasets from clinical studies to understand immune responses. Findings are shared through reports and global meetings with scientists and policymakers.
- Developing tools and standards for systems immunologyCreating advanced tools for immune system measurement—including the Immune Monitoring Kit and a predictive immune cell engineering toolkit—and establishing global standards for human immune profiling. The organization also pioneered quantitative metrics such as “immune age” and concepts of immune setpoints to assess immune health across diseases, ages, and therapeutic responses.
-
-
Open Research Infrastructure & Publishing 1 activity
- Advancing global immunological research capacityBuilding research infrastructure and knowledge transfer capabilities by establishing Hubs and Collection Sites globally, with a focus on enabling participation and data collection in low- and middle-income countries.
-
-
Cancer Research Funding 1 activity
- Funding early-career researchers in human immunologyAwarding grants through the Michelsen Prizes to support transformative research by young investigators in the field of human immunology.
-
-
Uncategorized 2 activities
- Building a global immunological dataset and biobankCollecting high-resolution, longitudinal immunological data and biological samples from approximately 225,000 individuals across 10 global pilot sites, with around 1,500 participants per site, to create the world's largest and most comprehensive open-access immunological resource. Samples are collected before and after vaccination to establish baseline and functional immune responses.
- Leading international collaborative networks in systems immunologyEstablishing and convening the Scientific Partner Network (also known as the HIP Scientific Partner Network), the largest collaboration in systems immunology history, uniting ten leading institutions across five continents. The network advances scientific strategy, harmonizes assays and protocols, and governs data through working groups and in-person meetings such as at the Banbury Center.
-
Who runs it
| Name | Title | Hours/wk | Compensation |
|---|---|---|---|
| MICHELLE WOEHRLE | DIRECTOR OF OPERATIONS | 40 | $233K |
| LIZA KANE-HARTNETT | COMMUNICATIONS DIRECTOR | 40 | $158K |
| HANS KEIRSTEAD | BOARD MEMBER/CEO | 20 | $156K |
| MICHELLE BAIR | VP, PHILANTHROPY & ADMIN | 40 | $102K |
- DOUGLAS RICHMAN — BOARD MEMBER
- JANE METCALFE — BOARD CHAIR
- JOSE-MARIA FERNANDEZ — BOARD MEMBER/FINANCE AUDIT & RISK
- KENNETH HOLROYD — BOARD MEMBER/FINANCE AUDIT & RISK
- LINDA AVEY — BOARD MEMBER
- NEEMA MGANA — BOARD MEMBER
- REY RAMSEY — BOARD MEMBER
- ROBERT KLEIN — BOARD MEMBER
Who they work with
- Allen Institute Partner — Advisor on systems immunology and computational biology.
- Allen Institute Partner — Founding member of the HIP Scientific Partner Network, contributing expertise in big science, team science, and open science approaches to immunology research.
- Annual Reviews Government — Metcalfe serves as a Trustee of Annual Reviews.
- Bailey Squared Partner — Scientific partner in the Human Immunome Project
- Banbury Center Partner — Convened a series of conversations with leading systems immunologists at the Banbury Center in November 2025
- BioAstra Partner — Scientific partner in the Human Immunome Project
- CEPI Partner — Scientific partner in the Human Immunome Project
- Cold Spring Harbor Laboratory Partner — Hosted the first in-person gathering of the Scientific Partner Network at the Banbury Center in November 2025.
- CytoReason Partner — Co-founded by Shai Shen-Orr based on his academic research; he serves as chief scientist at the company.
- DZNE Partner — Hosts the European Hub for HIP and provides technological infrastructure for secure, privacy-preserving AI applications in medical research via the DZNE Swarm Learning Hub.
- DZNE (German Center for Neurodegenerative Diseases) Partner — Scientific partner in the Human Immunome Project
- Danaher Partner — Scientific partner in the Human Immunome Project
- Focused Ultrasound Foundation Partner — Metcalfe is co-chair of the Council of the Focused Ultrasound Foundation.
- GSK Partner — Scientific partner in the Human Immunome Project
- HVP Partner — Collaborated with HVP on clinical studies generating immunological data-sets used in bioinformatics analysis.
- Human Genome Project Partner — Referenced as a comparable scientific endeavor in scope and potential impact.
- HypoVax Global Partner — Contributes to HIP by mobilizing global researchers focused on vaccine hyporesponsiveness, particularly in the Global South.
- ImmunoSensation Partner — Scientific partner in the Human Immunome Project
- John Tsang Partner — Co-Chief Science Officer and collaborator in developing the vision for the Human Immunome Project.
- LCF2 Partner — Scientific partner in the Human Immunome Project
- La Caixa Foundation Partner — Hosted the presentation of HIP’s Research Plan in November 2023.
- Long Now Foundation Partner — Metcalfe is a member of The Council of The Long Now Foundation.
- Moderna Partner — Scientific partner in the Human Immunome Project
- National Cancer Institute Government — Advisor on systems immunology and computational biology.
- National Institute of Allergy and Infectious Diseases Government — Served as tenured Senior Investigator and Co-Director of the NIH Center for Human Immunology; continues as Adjunct Investigator at NIAID.
- National Institute of Diabetes and Digestive and Kidney Diseases Government — Advisor on systems immunology and computational biology.
- National Institute on Aging Partner — Collaborates with HIP on research related to immune aging biomarkers.
- Novo Nordisk Foundation Partner — Scientific partner in the Human Immunome Project
- RIKEN Partner — Founding institutional member of the HIP Scientific Partner Network, contributing broad scientific expertise as Japan’s largest comprehensive research institution.
- RIKEN Partner — Scientific partner in the Human Immunome Project
How they approach the work
Named approaches extracted from this org’s sources. Where others share an approach, follow it to see the full set of orgs running it.
- Federated Data Infrastructure for Local Ownership and Securitymethodology: federated_data_infrastructureBy using a federated data infrastructure, we enable secure, collaborative analysis of immunological data while preserving local control and governance, because maintaining data sovereignty at originating sites increases trust, ensures ethical compliance, and facilitates global participation in research.
- Global Representation with Equity-Centered Benefit Sharingmethodology: global_representationBy establishing the majority of study sites in low- and middle-income countries and coupling data collection with local capacity building, we produce globally representative immunological data and ensure equitable impact, because inclusive participation and shared benefits enhance data validity and strengthen long-term research sustainability in underrepresented populations.
- Iterative, AI-Optimized Immune Monitoring Frameworkmethodology: iterative assay optimizationBy applying AI to identify high-value biomarkers and iteratively refining immune monitoring assays based on data feedback, we produce scalable and cost-effective tools for immune profiling, because data-driven optimization ensures both scientific rigor and practical feasibility in large-scale deployment.
- Systems Immunology and AI-Driven Modelingmethodology: systems-immunology-and-aiBy integrating high-dimensional immune monitoring with machine learning and artificial intelligence, we produce predictive models of immune system variability, because this enables the transition from generalized to precision medicine by uncovering the molecular and cellular bases of individual immune differences.