^{Chair: Jinghui Zhang, PhD}

Department of Computational Biology

About the Department

The mission of the Department of Computational Biology is to advance the understanding and treatment of pediatric cancer and other catastrophic diseases by:

Leading research on innovative data-driven computational methods development
Performing cutting-edge analysis
Establishing the world's best pediatric cancer data resource

In the news

Studying genomics means creating big data. Scientists at St. Jude have developed numerous tools and techniques for tackling data with cutting-edge visualizations and analysis. Learn more #StJudeOn

Faculty and focus areas

Brian J. Abraham, PhD
Expertise: Gene Regulation

Research focus areas: Enhancer landscapes, super-enhancers, nuclear organization, core regulatory circuitries, transcriptional therapies

Collaborations: Developmental Neurobiology
Visit the Abraham Lab
Xiang Chen, PhD
Expertise: Machine Learning, Statistics

Research interests: Pediatric solid tumors, epigenetics, single-cell genomics

Collaborations: Developmental Neurobiology, Surgery, Immunology
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Paul Geeleher, PhD
Expertise: Preclinical drug screening, applied statistics and machine learning

Research interests: Drug repurposing, pharmacogenomics, computational methods development, neuroblastoma

Collaborations: Epidemiology and Cancer Control, Developmental Neurobiology, Biostatistics
Visit the Geeleher Lab
Xiaotu Ma, PhD
Expertise: Mathematical modeling

Research interests: Intra-tumor heterogeneity, cancer initiating events, early detection

Collaborations: Pathology, Global Pediatric Medicine, Biostatistics
Xiaotu Ma Lab
Jiyang Yu, PhD
Expertise: Systems biology

Research interests: SYstems biology, systems immunology, immuno-oncology, single-cell systems, biology, translational oncology, functional genomics

Collaborations: Epidemiology and Cancer Control, Pathology, Oncology, Developmental Neurobiology, Pharmaceutical Sciences, Cell and Molecular Biology, Surgery, Bone Marrow Transplant and Cellular Therapy, Chemical Biology and Therapeutics, Hematology, Structural Biology, Tumor Cell Biology
Visit the Yu Lab
Jinghui Zhang, PhD
Expertise: Algorithm, visualization, variant detection

Research interests: Pediatric cancer genomics, non-coding variants, population genetics, clonal evolution, cancer predisposition, immunotherapy

Collaborations: Epidemiology and Cancer Control, Pathology, Oncology, Global Pediatric Medicine, Developmental Neurobiology, Biostatistics, Pharmaceutical Sciences, Cell and Molecular Biology, Bone Marrow Transplant and Cellular Therapy, Immunology, Infectious Disease, Chemical Biology and Therapeutics, Hematology, Structural Biology, Tumor Cell Biology
Jinghui Zhang Bio
Xin Zhou, PhD
Expertise: Data visualization, integration, and real-time analysis

Research interests: Cancer biology, human genetics

Collaborations: Oncology, Epidemiology and Cancer Control
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Zhaoming Wang, PhD [Secondary]
Expertise: Population genetics, cancer epidemiology

Research interests: Genetic epidemiology of pediatric and adult cancers, survivorship, biomarkers, multi-omics based preventive medicine

Collaborations: Epidemiology and Cancer Control, Pathology, Oncology, Biostatistics
Zhaoming Wang Bio
Yong Cheng, PhD [Secondary]
Primary Appointment: Hematology

Research interest: Investigating functions of regulatory elements in normal blood development and blood disorders
Visit the Cheng Lab