Guanlin Wang

Techniques profiling single cells give us unprecedented opportunities to understand cellular heterogeneity delicately and design precise medicine for diseases. Currently, I am a postdoctoral computational biologist in Professor Adam Mead, Dr. Supat Thongjuea and Dr. Beth Psaila's groups. My main research interest is to understand the heterogeneity and molecular drivers of blood malignancies (eg. myelofibrosis) using single cell -omics techniques and thus identify potential therapeutic targets. I am also working on developing new computational tools for single cell -omics analyses.

I completed my PhD with Professor John Speakman at the Institute of Genetics and Developmental Biology, Chinese Academy of Sciences and the University of Aberdeen, where I was trained as a population geneticist and part-time physiologist. My PhD project was on the microevolution of genes-related metabolic traits (obesity/type 2 diabetes). Our findings suggested very few positive selection signals at SNPs linked to body mass index (BMI), which challenging the well-known 'thrifty gene' hypothesis and leading new thoughts of the obesity epidemic. After my PhD, I am keen on adapting my bioinformatics skills to help develop cancer therapies using state-of-the-art single cell -omics techniques and then joined Oxford in 2019.