Jennifer Beane-Ebel, PhD

Jennifer Beane-Ebel is an Associate Professor of Computational Biomedicine, and member of the Genome Science Institute at Boston University. Her research interests focus on developing and implementing computational and statistical methodologies to analyze high-throughput genomic data to characterize the effects of tobacco smoke and their contribution to the pathogenesis of two smoking-related diseases, lung cancer and chronic obstructive pulmonary disease (COPD). As a graduate student and post-doctoral fellow, she characterized gene expression differences in the airway field on injury associated with smoking and lung cancer. The work was the foundation that has led to the commercialization of gene expression-based lung cancer diagnostic known as PERCEPTA. As an Assistant Professor, she has focused on expanding our knowledge of the molecular changes that occur in the airway field on injury associated with smoking and lung cancer to develop biomarkers of early lung cancer detection and risk. Towards this goal, she has worked to establish methods for single-cell sequencing of epithelial cells collected from the mainstem bronchus as well as computational analysis techniques. In addition, her research has focused on understanding the molecular events associated with progression of bronchial premalignant lesions to identify predictors of lung cancer risk and novel candidates for targeted and preventive therapy.

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