We will enable synergy across fields for development of data-driven methods for the healthcare domain and their integrative application from health-related science to policy by leveraging the siloed expertise already at Princeton, such as computational biology researchers and data security experts, with strategic new recruitments.

Our current focus is on three specific areas related to health and disease:

Kidney Disease and Diabetes

Kidney diseases and diabetes affect hundreds of millions of people worldwide and cause significant suffering, morbidity, and public health burden.  Despite urgent need, clinical and therapeutic innovation in these fields have lagged behind other areas of medicine and this field presents significant ethical, policy, and equity challenges.  PPH researchers will develop and apply data-driven approaches across molecular, epidemiological, socioeconomic, and clinical data, to bring forth medical innovations, behavioral tools, and policy and ethical guidelines to improve health and equity in this area.

kidney disease graph

Single-cell analyses and spatial mapping resolve precursor transcriptomes (Linstrom et al 2021)

Immune System Disorders and Inflammation

Understanding the immune system and inflammatory responses is central to addressing clinical and public health challenges resulting from infectious diseases, autoimmune disorders, and environmental exposures.  PPH researchers will address these molecular, clinical, and policy challenges through developing and applying data-driven and machine learning methods to problems ranging from SARS-Cov2 and flu infection to vaccine development to post-infection fatigue syndromes.  These will be addressed through close interactions of scientists, social scientists, behaviorists, and ethics researchers and will aim to improve treatment, policies, and equity.


Multi-omic integrative analysis of the sex-dependent molecular responses to SARS-CoV-2 infection (Sauerwald et al. 2022)

Neurodevelopment, Neurodegeneration and Mental Health

Hundreds of millions of people world-wide are affected by a wide range of challenges related to brain health.  These include disorders of early development, such as autism, neurodegeneration, such as Alzheimer’s disease, and a variety of mental health challenges, ranging from depression to schizophrenia.  PPH scientists, behaviorists, ethicists and socioeconomic and policy experts will develop and apply data-driven methods to improve outcomes in these areas through more precise and equitable diagnostics, treatment options and policies.

AD Pathology Graph

Prediction, Validation, and Functional Analysis of Genes Associated with AD Pathology (Roussarie et al. 2020)

Data Science Consultation

PPH employs professional data scientists with expertise in both computer science and in genomics or biomedical research to work with multiple groups, consulting on data analysis and developing and applying  computational methods for a variety of applications across this interdisciplinary research space at Princeton. Our data scientists serve as a hub for PPH-related collaborative projects across disciplines. Contact us if you have a project of interest.