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Precision Pulmonary Medicine (P-PULM) Program

Precision PULmonary Medicine, P-PULM, is a multidisciplinary research initiative that integrates advanced biomedical technologies — such as multi-omics, genomics, transcriptomics, proteomics, metabolomics, microbiomics and exposomics — with clinical and social data to improve the understanding, diagnosis and treatment of lung and respiratory diseases. The goal is to tailor interventions to individual patients based on their unique molecular, genetic, environmental and lifestyle profiles.

P-PULM is housed within the Division of Pulmonary, Critical Care and Sleep Medicine in the Department of Medicine at Indiana University School of Medicine. The program provides a robust framework for applying omics technologies to improve the diagnosis and management of lung and respiratory diseases, with a focus on identifying molecular characteristics that enable more precise prevention, diagnosis and treatment.

Members of P-PULM have access to cutting-edge technologies led by a dedicated analytics team with expertise in statistics, biostatistics, bioinformatics and functional genomics. The program hosts a fully equipped computational lab featuring high-performance Mac, PC and Linux workstations, servers and parallel computing resources. All necessary software for pulmonary research and access to research databases are available.

Innovative Multidisciplinary Research Design

Key research goals include:

  • Understanding the biological and environmental exposure basis of individual variations in pulmonary and respiratory diseases presentation, treatment response and outcomes.
  • Identifying clinical practices that exacerbate pulmonary/respiratory health disparities and advance health and disease for all.
  • Share the latest findings from basic science and translational research that will inform the development of precision medicine approaches to the treatment or prevention of pulmonary and respiratory diseases. 
70187-Mersha, Tesfaye

Tesfaye B. Mersha, PhD

Director, Precision Pulmonary Medicine Research Program

Read Bio

Who We Are

We are a multidisciplinary team of basic researchers, clinical and translational researchers, laboratory scientists, statisticians and bioinformaticians united by a shared commitment to advancing lung health. Working at the intersection of omics, immunology, environmental exposure and lung disease, we tackle complex scientific challenges to improve patient care.

Join Us!

Please fill out the form to apply for P-PULM affiliated program membership.
hands type on a laptop

Our Vision

Advancing lung health for all - where every patient receives care tailored to their unique biology, environment, and lifestyle-centered strategies.

two physicians review lung xrays in the clinic

Our Mission

To transform pulmonary, critical care, allergy and sleep medicine through pioneering research, cross-disciplinary collaboration, and the rapid integration of omics and non-omics sources in precision medicine.

a doctor writes a prescription

Our Strategy

We are building a program rooted in team science, bringing together innovators across disciplines to cross-fertilize research and maximize the impact.

Strategy for Pulmonary Precision Medicine

Genomics
Genetic risk and drug response
Heterogeneity
Representative population
Advanced Diagnostics
Imaging and biomarkers
Digital Health and AI
Technology support tools

Core Components of P-PULM

Discovery Focus

Build infrastructure to link biobanks, cohorts, and laboratory results with the electronic medical record and “omic” databases to enable transformative basic, clinical and translational research to uncover molecular mechanisms and biomarkers relevant to lung diseases.

Translational Focus

Translating omics discoveries into clinically actionable diagnostics and treatment strategies that promote and improve individual health.

Education Focus

Promoting the understanding and application of precision medicine among researchers, clinicians and fellows through training, workshops, and collaborative learning.

Team Members

Yadu Gautam, PhD

Yadu Gautam, PhD

Biostatistician/Program Manager

I received my PhD in statistics from Central Michigan University in 2014. I joined Mersha Lab in 2017 as a postdoctoral fellow. In the Mersha Lab, I am working on genomics projects aimed at detecting predisposing genes and environmental exposer risk factors in asthma and related phenotypes. I am interested in both application and computational tools development in big biological data to investigate the genetics and environment risk factors for common and complex diseases. I developing a novel tool called AdmixPower for power and sample size analysis of admixture mapping studies. Currently, I focus on multi-omics integration projects. Besides working in the lab, I spend some time reading news and watching cartoons with my kids.

Esteban Correa

Esteban Correa, PhD

Research Fellow

I'm a computer engineer turned Clinical Data Scientist with strong statistical background who focuses on developing data pipelines, and machine learning models around electronic health records. My interdisciplinary academic-industry background incorporates advanced statistical methodologies, mortality modeling, Bayesian causal inference and mediation, time to event analysis, fairness metrics, explainable AI, among others. In my free time, I enjoy cycling and watching motorsports.

Eskezeia Dessie, PhD

Eskezeia Dessie, PhD

Research Fellow

I earned a MS in biostatistics from Addis Ababa University in Ethiopia and a PhD in bioinformatics and medical engineering from Asia University in Taiwan. I am interested in developing and applying statistical, machine learning and bioinformatics methods into biomedical data. In 2021, I joined Dr. Mersha’s Lab as a Research Fellow to uncover genetic, epigenetic, and environmental exposer risk factors in asthma and asthma-associated allergic diseases. I am also interested in improving the predictive performance of polygenic risk scores in complex human diseases including asthma and cancer.