Tingyou Wang
Research Associate
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolTingyou Wang is a research associate and bioinformatician with 11 years of experience developing computational methods that accelerate discovery in cancer genomics, immunogenomics, and complex disease genetics. He has built innovative pipelines (ScanNeo, ScanITD, ScanExitron) for detecting neoantigens and non-canonical splicing events and applies AI and large language models to push genomic analysis beyond traditional workflows. His work spans multi-omics integration, algorithm development, and large-scale sequencing analysis, grounded in PhD training in bioinformatics and postdoctoral cancer genomics at top institutions. Based in Chicago, he combines academic rigor from Northwestern and the University of Hong Kong with industry-grade engineering experience from BGI, and is fluent in Python, R, and scripting for production pipelines. Notably, he bridges systems biology and data mining to reveal genetic drivers of diseases such as systemic lupus erythematosus, often uncovering signals missed by standard pipelines.
11 years of coding experience
6 years of employment as a software developer
Postdoctoral, Cancer genomics, Postdoctoral, Cancer genomics at University of MinnesotaThe University of Hong Kong (HKU)Master of Science (M.Sc.), Bioinformatics, A, Master of Science (M.Sc.), Bioinformatics, A at China Agricultural University
Chinese, English
Github Skills (72)
seq10
structural-variation10
genomics10
rna-seq10
derived10
pairwise10
bioinformatics10
sequence-alignment9
pipeline8
nextflow8
caller7
bam6
sequencing6
python-bindings6
bcftools5
Programming languages (10)
Github contributions (5)
ylab-hi/ScanExitron
Feb 2020 - Sep 2021
A computational workflow for exitron splicing identification
Contributions:3 releases, 138 commits, 1 PR in 1 year 8 months
ylab-hi/ScanITD
Mar 2019 - Jan 2021
Contributions:2 releases, 48 commits, 62 pushes in 1 year 10 months
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