Masters Student

Research Emphasis

Working on a machine-learning approach to predict gene regulon membership using promoter sequence features in bacterial systems to identify genes that may be used as drug targets.



My research interests are centered at deciphering the molecular mechanisms underlying disease progression through computational and systems biology approaches, which can ultimately lead to more affordable healthcare through data-driven decisions.