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Tychele Turner, PhD

Assistant Professor

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

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Aayushi Uberoi, PhD

Assistant Professor

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

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David Wang, PhD

Professor

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

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Ting Wang, PhD

Sanford C. and Karen P. Loewentheil Distinguished Professor and Head of the Department of Genetics

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

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Muriah Wheelock, PhD

Assistant Professor

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

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Meng Wu, PhD

Assistant Professor

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

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Kristine Wylie, PhD

Associate Professor

Program affiliation
Molecular Microbiology and Microbial Pathogenesis
Immunology
Computational and Systems Biology
Molecular Genetics and Genomics

Research summary
Host-microbe dynamics during pregnancy

Key words
virome, microbiome, pregnancy, papillomavirus, herpesvirus

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Fuzhong Zhang, PhD

Associate Professor

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

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Jin Zhang, PhD, MPHS

Assistant Professor

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

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Linying Zhang, PhD

Assistant Professor

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