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 « Monday, November 21, 2022 »
MATH/STATISTICS COFFEE TIME: Application of Machine Learning to Drug Discovery and Design

The Department of Mathematics & Statistics will hold its last Coffee Time event of 2022 at 2:30 p.m. on November 21 with Dr. Samuel Kakraba, who will present "Application of Machine Learning to Drug Discovery and Design: The Case of Modeling of Anti-Leukemia Activity of Small Molecules."

Leukemia affects all populations and is the most common cancer in children younger than five years of age. Recently, the field of drug discovery, design, and pharmaceutical sciences has been seeing increasing machine-learning algorithms applied to the screening and characterization of small molecules. Using R statistical software, we designed and implemented a machine learning-driven pipeline that incorporated several machine-learning algorithms for modeling anti-leukemia activity of small molecules from the TDZD library synthesized by our research group.

Email for Zoom link.

Event Date: November 21  2:30 p.m.  Location: Wallace 344 & Online  Cost: Free
Contact Information: Dr. Lisa Kay, 859-622-1621

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