Marcia Castillo is a doctoral student and researcher in chemistry at the Andes University. Her current research projects focus on machine learning for drug discovery. This topic has played an important role in the identification of novel drugs against cancer She has a M.S degree in Chemistry from the Andes University; there, she studied the interaction of biochemical systems with computational methods, primarily on issues related to gold nanoparticles and proteins. Before the Andes University, she earned her undergraduate of Chemistry from Pedagogical and Technological University of Colombia. She has worked as a researcher in computational chemistry at Computational Bio-Organic Chemistry research group. In addition, she has taught chemistry, physicochemical and organic chemistry for 3 years at the Andes University. Marcia has shared her academic projects in different scientific events since 2017 and in a publication about functional foods. Her academic interests include drug discovery, drug repositioning and rational design of gold nanoparticles with biochemical application.