Epidemiology & Biostatistics

The Ronglai Shen Lab

Ronglai Shen, PhD

Attending Biostatistician

Professor

My research has focused on the development of novel statistical and bioinformatic methodologies that facilitate the study of translational research questions in cancer genomics and immuno-oncology. I developed several algorithms including iCluster and FACETS that are widely used in research community.

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Publications Highlights

Peng X, Lee J, Adamow M, Maher C, Postow MA, Callahan MK, Panageas KS, Shen R*. A topic modeling approach reveals the dynamic T cell composition of peripheral blood during cancer immunotherapy. Cell Reports Methods. 2023

Shen R, Postow MA, Adamow M, Arora A, Hannum M, Maher C, Wong P, Curran MA, Hollmann TJ, Jia L, Al-Ahmadie H, et al. LAG-3 expression on peripheral blood cells identifies patients with poorer outcomes after immune checkpoint blockade. Science translational medicine. 2021

Chakraborty S, Martin A, Guan Z, Begg C, Shen R*. Mining mutation contexts across the cancer genome to map tumor site of origin. Nat Communications. 2021

Shen R and Seshan V. (2016) FACETS: allele-specific copy number estimates from tumor sequencing. Nucleic Acids Res. 2016

Mo Q, Wang S, Seshan VE, Olshen AB, Schultz N, Sander C, Powers RS, Ladanyi M, and Shen R*. Pattern discovery and cancer gene identification in integrated cancer genomic data. Proc Natl Acad Sci U S A. 2013

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People

Ronglai Shen, PhD

Attending Biostatistician

Professor

My research has focused on the development of novel statistical and bioinformatic methodologies that facilitate the study of translational research questions in cancer genomics and immuno-oncology.
PhD, University of Michigan, Ann Arbor, MI