|Grant ID: RR180042|
Recruitment of First-Time, Tenure-Track Faculty Members
Stanford University School of Medicine
August 24, 2018
Advanced DNA sequencing methods coupled with improved computational techniques have changed the scope of what researchers can learn about cancer genetics, and allow them to apply that knowledge to improving patient care.
A researcher now at The University of Texas at Austin is developing advanced computational methods that can comb through vast amounts of data from cancer genomics and find correlations that would be impossible to find otherwise.
Computational geneticist Can Cenik was recruited in 2018 from Stanford University School of Medicine with a First-Time Tenure-Track Award from CPRIT. He joined the Department of Molecular Biosciences.