Juan Sebastián Andrade Martínez

Graduate Student, Tri-I CBM

Prediction of Responses to Immune Checkpoint Blockade through Machine Learning: The project is aimed at using machine learning techniques to predict the outcome of the application of immune checkpoint blockade treatments to different cancer types, using RNA-Seq and whole exome sequencing data as input.

Weill Cornell Medicine Elemento Lab 413 E 69th St., Room 1404 New York, NY 10021 Phone: (646) 962-7604