Predicting cancer prognosis and drug response from the tumor microbiome
Leandro Hermida
Abstract
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Bio
Leandro Hermida is a third year Master’s student supervised by Dr. Eytan Ruppin and a member of the Cancer Data Science Laboratory (CDSL) at the National Cancer Institute (NCI). Before coming to UMD, he worked as a bioinformatics scientist for many years at the NCI and other academic institutions. He received his undergraduate degree from Vanderbilt University in chemical engineering. He is interested in the application of computer science techniques in the study of cancer biology, including machine learning and other computational methods.
This talk is organized by Tom Hurst