The Division of Biostatistics and Bioinformatics at SKCCC Oncology develops and applies quantitative methods to aid research in cancer biology, treatment, and prevention.
Research: Current research activities include the design of clinical and preclinical studies, analysis of high-throughput data in cancer genetics, developing inferential models for studies of behavioral interventions, computational modeling of signaling pathways, analysis of multiple outcomes, risk prediction algorithms for familial susceptibility, applications of Bayesian nonparametric methods, and the development of cancer-oriented bioinformatics resources. These activities speed and improve the discovery, development, and evaluation of new cancer therapies; lead to innovative methodologies for cancer risk assessment, early detection, and prevention; and foster collaborative statistical work with investigators in the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins and at other components of The Johns Hopkins University.
Education: Members of the Division are engaged in both mentorship and teaching at the graduate and undergraduate levels across multiple schools in The Johns Hopkins University, including the Bloomberg School of Public Health, the School of Medicine, and the Krieger School of Arts and Sciences.
