Anthony Gitter joins BMI and MIR

These six medulloblastoma tumor samples all belong to the WNT subtype and exhibit functional similarities, but their mutations are quite heterogeneous. The multi-sample prize-collecting Steiner forest (Multi-PCSF) algorithm infers pathways that may be commonly perturbed by the diverse mutations. It searches a protein-protein interaction network to discover hidden, unmutated genes (circles) that connect the patient-specific mutated genes (squares) through physical interactions (figure by Tobias Ehrenberger).

The Department, together with the Morgridge Institute for Research (MIR), is very pleased to welcome Anthony Gitter, PhD, as a new Assistant Professor at UW and Investigator at MIR. Anthony completed his PhD in Computer Science at Carnegie Mellon University and a post-doctoral fellowship at Microsoft Research and MIT in Cambridge, Massachusetts. His research interests are centered in computational biology, and include probabilistic graphical models, host response to viral infection, and cancer genomics, among others. He will be joining Prof. Paul Ahlquist's virology research group at MIR.

In a current project, large-scale cancer genomics studies have revealed the diversity of mutations across tumors, and shown that many mutations are unique to a single tumor. Anthony develops network algorithms to discover how heterogeneous mutations may disrupt the same signaling pathways to produce similar effects on cellular state.