Computational and Systems Biology
Tychele Turner, PhD
Assistant Professor
- Email: tychele@wustl.edu
Program affiliation
Human and Statistical Genetics
Computational and Systems Biology
Molecular Genetics and Genomics
Neurosciences
Research summary
Discovery and characterization of genetic etiological factors involved in neurodevelopmental disorders
Key words
genomics, genetics, autism, neurodevelopmental disorders, complex disease, noncoding, enhancers, whole-genome sequencing, whole-exome sequencing, single-nucleotide variation, insertions/deletions, copy number variation, structural variation
Aayushi Uberoi, PhD
Assistant Professor
- Email: uberoi@wustl.edu
Program affiliation
Molecular Microbiology and Microbial Pathogenesis
Computational and Systems Biology
Molecular Genetics and Genomics
Immunology
Cancer Biology
Research summary
We want to understand how microbes interact with humans so that we can identify new strategies to improve health. Our research integrates 'skinomics', metagenomics and host-microbial genetics to address how microbes influence skin physiology.
Key words
microbiome, skin, dermatology, skin diseases, infection, skin cancer, wound healing, environmental exposures
David Wang, PhD
Professor
- Email: davewang@wustl.edu
Program affiliation
Molecular Microbiology and Microbial Pathogenesis
Immunology
Computational and Systems Biology
Plant and Microbial Biosciences
Research summary
Discovery and Characterization of Novel Viruses
Key words
microbial pathogenesis, functional genomics, virology, genome analysis, computational biology
Ting Wang, PhD
Sanford C. and Karen P. Loewentheil Distinguished Professor and Head of the Department of Genetics
- Email: twang@wustl.edu
Program affiliation
Computational and Systems Biology
Molecular Genetics and Genomics
Ecology and Evolutionary Biology
Human and Statistical Genetics
Research summary
Epigenome evolution and epigenetic determinants of cell fate
Key words
DNA methylation, transposable elements, epigenomics, evolution, genomics, systems biology
Muriah Wheelock, PhD
Assistant Professor
- Email: mdwheelock@wustl.edu
Program affiliation
Neurosciences
Computational and Systems Biology
Biomedical Informatics and Data Science
Research summary
Elucidating the biological pathways underlying cognition, emotion, and behavior, determining developmental deviations and degenerative processes in these pathways
Key words
Meng Wu, PhD
Assistant Professor
- Email: mengwu@wustl.edu
Program affiliation
Molecular Microbiology and Microbial Pathogenesis
Immunology
Computational and Systems Biology
Molecular Genetics and Genomics
Research summary
We investigate the interplay among the microbiota, stromal cells, and the immune system through the integration of microbiology and immunology with systems biology.
Key words
Microbiota, Microbiome, Immune system, Stromal cells, Vaccines, Germinal Centers
Fuzhong Zhang, PhD
Associate Professor
- Email: fzhang29@wustl.edu
Program affiliation
Plant and Microbial Biosciences
Molecular Microbiology and Microbial Pathogenesis
Computational and Systems Biology
Biochemistry Biophysics and Structural Biology
Research summary
Synthetic biology for advanced biofuels, biomaterials, and chemicals.
Key words
Synthetic biology, Metabolic engineering, regulatory systems, biomaterials
Jin Zhang, PhD, MPHS
Assistant Professor
- Email: jin.zhang@wustl.edu
Program affiliation
Biomedical Informatics and Data Science
Cancer Biology
Computational and Systems Biology
Research summary
Deep learning; AI; Multi-omics; Translational cancer research; Cancer; Genomics; Imaging
Key words
RNA-seq, WGS, genomics, sequencing, deep learning, machine learning, artificial intelligence, AI, bioinformatics, computational biology, algorithm, multi-omics, cancer, HPV, radiation, PET, MRI, image
Linying Zhang, PhD
Assistant Professor
- Email: linyingz@wustl.edu
Program affiliation
Biomedical Informatics and Data Science
Computational and Systems Biology
Research summary
My research integrates causal modeling and machine learning to improve the reliability of real-world evidence generation and to improve the trustworthiness of AI-based clinical algorithms.
Key words
causal inference, machine learning, artificial intelligence, electronic health records, clinical informatics