CV
Ting-You Wang's professional curriculum vitae detailing research, education, and software.
Contact Information
| Name | Ting-You Wang |
| Professional Title | Research Associate |
| tywang@northwestern.edu |
Professional Summary
Research Associate in Bioinformatics & Genomics. Experienced in exploring, analyzing, and visualizing biological data using code and statistical models.
Experience
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2022 - Present Chicago, IL, USA
Research Associate
Northwestern University
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2021 - 2022 Austin, MN, USA
Staff Researcher
University of Minnesota
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2018 - 2021 Austin, MN, USA
Postdoctoral Research Fellow
University of Minnesota
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2017 - 2018 Hong Kong
Research Assistant I
The University of Hong Kong
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2011 - 2013 Shenzhen, China
Bioinformatics Engineer
BGI Genomics
Education
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2013 - 2017 Hong Kong
PhD
The University of Hong Kong
Bioinformatics and Genomics
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2008 - 2011 Beijing, China
MS
China Agricultural University
Bioinformatics
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2003 - 2007 Beijing, China
BEng
China Agricultural University
Mechanical Design, Manufacturing and Automation
Grants and Funding
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2026–2031 NIH/NCI Research Specialist Award, PI
National Cancer Institute
Awards
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2019 Eagles Telethon Post Doctoral Fellowship
University of Minnesota
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2019 Annual Research Exhibition Travel Award
Minnesota Supercomputing Institute
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2018 Faculty Outstanding Research Output Award
The University of Hong Kong
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2013 Postgraduate Scholarship
The University of Hong Kong
Professional Activities
Reviewer: Bioinformatics, BMC Bioinformatics, BMC Genomics, Briefings in Bioinformatics, Bioinformatics Advances, Biomolecules, Cancers, Cells, Cell Proliferation, Communications Medicine, Current Protocols, Frontiers in Artificial Intelligence, Frontiers in Genetics, Frontiers in Immunology, Gene, Genes, Genomics, Human Gene, International Journal of Molecular Sciences, Medical Microbiology and Immunology, Nucleic Acids Research, PLOS Computational Biology, PLOS ONE, PeerJ, Scientific Reports, STAR Protocols
Skills
Languages: Python, R, Bash, Perl, SQL, JavaScript
Bioinformatics: Next-Generation Sequencing (NGS) analysis, RNA-Seq, alternative splicing, structural variant comparison, HLA imputation
ML & Workflows: PyTorch, TensorFlow, Deep Learning, LLM, Docker, Git, Linux, Snakemake