Internal Medicine

Board-certified in Internal Medicine, with expertise in evaluating complex medical conditions, including patients with multiple interacting diseases, treatments, and functional consequences.

Pulmonary Medicine

Board-certified in Pulmonary Medicine, with expertise in respiratory symptoms, pulmonary physiology, diagnostic testing, imaging, disease course, treatment, and prognosis.

Pulmonary and Critical Care Medicine

Fellowship training and extensive clinical experience in pulmonary and critical care medicine, including the evaluation and management of critically ill and medically complex patients.

Epidemiology and Clinical Epidemiology

Application of epidemiologic principles to disease risk, association, causation, prognosis, treatment response, and the interpretation of population-level evidence in individual cases.

Genetics and Genetic Epidemiology

Evaluation of genetic contributions to disease susceptibility and clinical outcomes, including interactions between genetic and environmental factors where relevant.

Pharmacogenetics and Pharmacogenomics

Evaluation of genetic and population-level variation in drug response and therapeutic outcomes.

Clinical Pharmacology

Critical evaluation of therapeutic effects, treatment response, adverse effects, and variation in medication response across individuals and populations.

Gene-Environment Interactions

Evaluation of how genetic susceptibility and environmental or occupational exposures may interact to determine disease risk and clinical outcomes.

Environmental and Occupational Health

Evaluation of pulmonary and systemic health issues associated with environmental and occupational exposures, integrating exposure history and available exposure data with patient-specific clinical findings, disease natural history, epidemiologic evidence, and relevant scientific literature.

Population Heterogeneity

Evaluation of why disease susceptibility, exposure response, and therapeutic response may vary among individuals and populations. Population-average effects do not necessarily describe every individual patient, and individual observations do not necessarily generalize to the population.