Ting-You Wang
Computational genomics scientist specializing in long-read sequencing, AI-driven genome analysis, and bioinformatics tool development.
I use code and statistical modeling to solve complex biological data problems. My expertise spans cancer genomics, immunogenomics, alternative splicing, systemic lupus erythematosus (SLE) susceptibility, and algorithm design for sequencing data. I build robust computational pipelines and leverage deep learning/machine learning models to extract biologically reproducible insights from large-scale multi-omics datasets.
Research and develop computational methods to accelerate scientific discovery and advance precision medicine through analyzing large-scale sequencing, multi-omics, and clinical datasets. Recent research focuses include:
- Cancer genomics & immunogenomics — developed innovative pipelines such as ScanNeo, ScanITD, and ScanExitron, enabling more accurate detection of neoantigens and non-canonical splicing events.
- AI and large language models (LLMs) in biomedical research — exploring how LLMs can improve analysis of genomic data and uncover novel biological mechanisms.
- Systems biology & data mining — integrating these approaches to uncover genetic drivers of complex diseases such as systemic lupus erythematosus and cancer.
Specialties: Bioinformatics, AI/ML, LLMs, Cancer Genomics, Immunogenomics, Sequencing Data Analysis, Computational Biology, Systems Biology, Algorithm Development, Data Mining.