We develop innovative analytical and visualization software tools to advance genomic analysis that enables finding cures for pediatric cancer and other diseases. We are committed to sharing data and software tools with the broad biomedical research community.
The Team
The Zhang Lab has a creative team with multi-dimensional expertise in mathematics, biology, and physics
By investigating genomic variations in pediatric cancer—both somatic acquired alterations and germline predisposition variants, we aim to understand their role in cancer initiation and progression. We develop innovative software tools and collaborate with other investigators to discover novel targets including those for immunotherapy. Our group is also an instrumental contributor to the St. Jude Cloud initiative – a platform for sharing pediatric cancer data with the global research community.
Current areas of research include 1) discovery of non-coding driver variants in pediatric cancer by integrating epigenetics and 3D genome architecture.; 2) discovery of novel CAR-T targets; 3) therapy-related clonal hematopoiesis in pediatric cancer survivors; 4) optimization of computational methods to advance clinical genomics assays.
Selected Publications
Response to PARP Inhibition in BARD1-Mutated Refractory Neuroblastoma
Cupit-Link et al. N Engl J Med, 2024
Unifying heterogeneous expression data to predict targets for CAR-T cell therapy
Schreiner et al. OncoImmunology, 2021
St. Jude Cloud: a pediatric cancer genomic data-sharing ecosystem
McLeod C et al. Cancer Discov, 2021
Discovery of regulatory noncoding variants in individual cancer genomes by using cis-X
Liu Y et al. Nat Genet, 2020
Spectrum and prevalence of genetic predisposition in medulloblastoma: a retrospective genetic study and prospective validation in a clinical trial cohort
Waszak SM, et al. Lancet Oncol . 2018 Jun;19(6):785-798
Pan-cancer genome and transcriptome analyses of 1,699 paediatric leukaemias and solid tumours
Ma X, et al. Nature, March 2018
The landscape of genomic alterations across childhood cancers
We are always looking for highly self-motivated scientists/engineers with passion and talent to join us! People with experimental background are also encouraged to apply.
