School of Medicine
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Assistant Professor of Medicine (Pulmonary and Critical Care)
Current Research and Scholarly Interests Development and maintenance of alveolar epithelium; alveolar morphogenesis and repair; lung adenocarcinoma cell type of origin
Gundeep Dhillon, MD, MPH
Assistant Professor of Medicine (Pulmonary and Critical Care Medicine) at the Stanford University Medical Center
Current Research and Scholarly Interests 1. Use of an administrative database (UNOS) to study lung transplant outcomes.
2. Expression of the plasminogen activator inhibitor (PAI) 1 antibody in peripheral blood after lung transplantation and its association with bronchiolitis obliterans syndrome (chronic rejection).
3. Impact of airway hypoxia, due to lack of bronchial circulation, on long-term lung transplant outcomes.
4. CMV specific T-cell immunity in lung transplant recipients and its impact on acute rejection.
Instructor, Medicine - Pulmonary & Critical Care Medicine
Current Research and Scholarly Interests I am currently working to develop an orthotopic tracheal transplant model for Aspergillus infection and colonization. I am also involved in developing a device to detect pathogen-specific signatures in exhaled breath samples.
Associate Professor of Medicine (Pulmonary and Critical Care Medicine)
Current Research and Scholarly Interests Our research program has several active projects:
1.) Pulmonary Vascular Disease Simvastatin reversed experimental pulmonary hypertension, and is safe for treatment of patients. Blinded clinical trials of efficacy are in progress.
2.) Lung inflammation and regeneration (stem cells)
3.) Lung surfactant rheology and oxidative stress
4.) Gene regulation by RNA binding proteins, NF45 and NF90 through transcriptional and posttranscriptional mechanisms
Nayer Khazeni, M.D., M.S.
Assistant Professor of Medicine (Pulmonary and Critical Care Medicine)
Current Research and Scholarly Interests I have a fantastic research team and we love working together :) My lab uses mathematical modeling, decision analysis, prognostic modeling, multivariate logistic regression, cost-effectiveness analysis, and meta-analysis to examine and design pandemic Influenza mitigation strategies.