Summary
Ying-wooi Wan is a Senior Scientist in Computational Biology with 13 years of experience melding machine learning, statistical modeling, and high-performance bioinformatics pipelines to advance translational research in cancer, neurological, gastrointestinal and inflammatory diseases. He has led interdisciplinary teams and bioinformatics cores, is key personnel on nine research grants, and is lead author on more than 20 peer-reviewed papers that include novel algorithms, software tools and web portals. His work spans end-to-end omics analytics (RNA-seq, ATAC-seq, bisulfite-seq, single-cell) and precision-medicine patient stratification, delivering actionable biomarkers and drug-repurposing insights used across preclinical and clinical programs. Known for turning complex multi-modal datasets into reproducible platforms, he has driven discoveries featured in high-impact journals and translated atlas-scale single-cell analyses into therapeutic hypotheses. Based in New York and open to East Coast or remote opportunities, he blends deep academic rigor from a PhD in Computer Science with practical industry impact at Johnson & Johnson and Takeda.
13 years of coding experience
7 years of employment as a software developer
Bachelor of Science, Mathematics and Computer Science, Bachelor of Science, Mathematics and Computer Science at PennWest California
PhD, Computer Science, PhD, Computer Science at West Virginia University
Diploma, Computer Science, Diploma, Computer Science at Inti College Subang Jaya