معرفی
Dr. Robert Bradley is a Professor and Scientific Director of the Translational Data Science Integrated Research Center (TDS IRC) at Fred Hutchinson Cancer Center. He holds the McIlwain Family Endowed Chair in Data Science and has appointments in both the Herbold Computational Biology Program (Public Health Sciences Division) and Basic Sciences Division.
Education:
- PhD in Biophysics (2008), University of California, Berkeley
- AB in Physics with Highest Honors (2004), Princeton University
His research focuses on the intersection of cancer biology, cancer-immune interactions, and RNA processing, with a particular emphasis on splicing factor mutations and isoform-level genetic screens. The lab employs functional genomics, mouse modeling, computational/statistical analysis, and RNA biochemistry to uncover molecular mechanisms of cancer progression and therapy response.
Recent publications highlight trends in alternative polyadenylation, RNA splicing dysregulation, immunotherapy resistance, CRISPR screening, and computational modeling of RNA processing in cancer.
Awards & Recognition: While no personal accolades are listed, his lab members have received notable honors including:
- James Thomas - NCI K99 Award (2022)
- Jacob Polaski - Edward P. Evans Foundation Young Investigator Award (2020)
- Guo-Liang Chew - Cancer Science Institute of Singapore Special Fellow (2020)
Advising & Collaborations: The Bradley Lab actively trains graduate students from the University of Washington's Molecular & Cellular Biology Program, Department of Genome Sciences, Medical Scientist Training Program, and Institute for Public Health Genetics. The lab utilizes experimental and computational approaches, with resources like pgFARM (paired guide RNA libraries) and plasmid repositories at Addgene.
Labs & Teams: The lab is located at Fred Hutchinson Cancer Center in Seattle, Washington, and collaborates with the Translational Data Science IRC. Their work has revealed novel mechanisms in splicing factor mutations, poison exon regulation, and RNA surveillance pathways that impact cancer growth and immune evasion.
