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.