Summary
Yirui Chen is a computational biologist and scientist with a decade of experience applying mathematical modeling and genomics to practical problems in splicing modulation and single-cell analysis. Holding a PhD in Biomathematics/Bioinformatics from Virginia Tech, Yirui builds robust Python- and R-based pipelines and web visualization tools that have measurably accelerated research workflows for whole-genome, scRNA-seq, scATAC-seq and RNA-seq datasets. He pairs rigorous ODE/PDE and stochastic modeling with hands-on experience in agent-based simulations and time-series classification, bridging theory and data to reveal biological mechanisms such as myxobacterial gliding motility. Passionate about ML/AI for data integration and signal discovery, he thrives in interdisciplinary teams and mentors others to translate complex models into reproducible analyses. Based in Sunnyvale, CA, he combines industry experience at Biogen with deep academic training to deliver reproducible, scalable computational biology solutions.
10 years of coding experience
6 years of employment as a software developer
Master’s Degree, Biology/Biological Sciences, General, 3.65/4.0, Master’s Degree, Biology/Biological Sciences, General, 3.65/4.0 at Clemson University
Bachelor’s Degree, Biotechnology, 3.72/4.5, Bachelor’s Degree, Biotechnology, 3.72/4.5 at Nanjing Agricultural University
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, 3.93/4.0, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, 3.93/4.0 at Virginia Tech
Nanodegree, Data Scientist, Completed, Nanodegree, Data Scientist, Completed at Udacity