Summary
Changlin Ke is a PhD candidate in computational biology based in Amsterdam with nine years of hands-on experience turning complex NGS and single-cell datasets into reproducible insights. With a strong foundation in biology, computer science, biostatistics and ML, he builds and maintains bioinformatics pipelines (short- and long-read, metagenomics, scRNA-seq, de novo RNA-seq) and deploys them in Linux HPC and cloud environments using Python and R. His work spans academic and commercial settings—from Wageningen University to Macrogen Europe and BGI—where he has delivered QC tooling, format conversion utilities, and customized secondary analyses for diverse partners. He combines rigorous methodological benchmarking (e.g., deconvolution and signature matrix construction) with practical data-delivery experience, and is driven by a Feynman-like credo: to create is to understand. An understated strength is his ability to bridge FAIR data practices and engineering-friendly pipelines, making complex analyses both reproducible and usable by collaborators.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, bioinformatics and system biology, Master of Science - MS, bioinformatics and system biology at Vrije Universiteit Amsterdam (VU Amsterdam)
Master of Science - MS, bioinformatics and system biology, Master of Science - MS, bioinformatics and system biology at University of Amsterdam
Bachelor of Science - BS, Bioinformatics, Bachelor of Science - BS, Bioinformatics at Huazhong Agricultural University