Research
Understanding human health as a changing system.
We study why people age differently and how disease emerges over time. By connecting longitudinal human studies, multi-omics, artificial intelligence and human-relevant experimental models, we turn complex biological signals into knowledge that can be understood, tested and ultimately used to improve health.
Questions that guide us
Big questions, studied across time and biological scales.
Why do some people remain resilient while others age more rapidly?
How do the microbiome and immune system influence one another over time?
Can AI help us understand shifts between health and disease early enough to guide action?
Can human tissue models make biomedical research more predictive and relevant?
Research directions
Four connected programs define our work.
Each direction begins with human biology and contributes to a shared goal: understanding change over time and turning that understanding into better approaches to health.
Longitudinal multi-omics & digital twins
We follow health over time and connect clinical information with multiple molecular layers. These data support dynamic, interpretable models that explore how healthy and disease-related states may evolve, with the long-term aim of more timely and personalized care.
Microbiome, immunity & healthy aging
We investigate how microbes, immune activity, metabolism and persistent inflammation interact during aging. Our work seeks broad patterns of risk and resilience in vascular and cardiopulmonary health, and new ways to support biological balance.
Human immune organoids
We develop human tonsil- and spleen-based models to study immune responses in a setting that better reflects human biology. These systems help bridge discoveries from people to experimental validation and support research in infection, vaccination and inflammatory disease.
Microbial dark matter & new biology
Much of the microbial world remains poorly understood. We use data-driven approaches to explore overlooked microbial genes, proteins and metabolites, asking how they influence immune and metabolic function and what new biological ideas they may reveal.
What we bring
A team built to connect computation, human studies and experiments.
Work with us
Different expertise, one shared question.
We welcome collaborations involving clinical cohorts, computational and AI methods, human model systems and translational research. We especially value partnerships that connect disciplines and make complex biology useful to people.