Lianbo Yu

Lianbo Yu works in medical research with a focus on quantitative and computational methods, including multi-omics data analysis (studying multiple types of biological data such as genetics and proteins together) and diagnostic testing approaches, applied to areas like cancer (including leukemia) and infectious disease testing. Much of the recent work involves developing or applying statistical tools for combining complex biological datasets to identify disease subtypes and improve diagnostic accuracy.

Publication output has grown over the last decade, rising from occasional single papers per year before 2020 to a more consistent and higher output (4-9 papers/year) from 2022 onward.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026