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.
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Biography
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.