Data science practitioner
Machine learning researcher
Nan's research focuses on developing scalable statistical methods and software, to solve some of the most challenging data-intensive problems in cancer genomic medicine. His Erdős number: 4.
Nan is an active contributor to the R and Bioconductor community, with 20+ open source R packages and Shiny applications for statistical machine learning, data visualization, and reproducible research.
He works at Seven Bridges Genomics as a data scientist, with the mission of accelerating biomedical discovery by infusing data-driven insights into cloud-based data analysis products.