Shepherd University’s Faculty Research Forum will present a virtual lecture titled “Machine Learning and RNA Sequence” with Jason Miller, assistant professor of computer information science, on Tuesday, March 30, at 1 p.m.
The lecture will explore how machine learning algorithms can distinguish different types of RNA. Several teams have published computer programs that learned to classify human RNA sequences as either protein-coding mRNA or LncRNA, which was discovered recently and remains poorly understood. In collaboration with a West Virginia University researcher and two Shepherd students, Miller is seeking a fundamental understanding of how these programs should be designed for mastering not only this classification task but also related challenges in computational biology.
Miller worked on research teams at GlaxoSmithKline, Celera Genomics, and the J. Craig Venter Institute. He has co-authored more than 30 peer-reviewed publications in the field of bioinformatics. Miller received a bachelor’s degree in mathematics and computer science from New York University and a master’s in computational biology from the University of Pennsylvania. He is currently pursuing a doctorate in computer science from WVU.
To find a link to the presentation, visit the Faculty Research Forum webpage.
From Shepherd News