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 next-generation genomic medicine. His Erdős number: 4.
He currently works at Seven Bridges as a Genomic Data Scientist, with the mission of accelerating biomedical discovery by designing and delivering innovative data-driven products.
Nan's research interests are in the area of statistical machine learning, primarily method development for real-world predictive modeling tasks, including:
Favorite technology stack: R, Shiny, Docker, D3.js, Python, PostgreSQL