Data science and machine learning gained traction in recent years and many researchers leverage this technology to gather insight into biological problems. Building on results from genome-wide association studies (GWAS), Dr Boxiang Liu and his team aims to invent new computational methods to better quantify the human genome such that information can be used for drug development.
Read more about what his team is developing below:
Dr Liu is an Assistant Professor of Pharmacy and Biomedical Informatics at the National University of Singapore. He received a MSc in Statistics and a PhD in Bioinformatics, both from Stanford University. His research group specializes in (1) genetic regulation of molecular traits (QTLs) and (2) single-cell multi-omics. He is the winner of President’s Award in Natural Sciences and Mathematics, Stanford University CEHG fellowship, Charles B. Carrington Memorial Award, and the Chinese Government Outstanding Overseas Ph.D. Students.
Article by NUS Pharmaceutical Society Academic Committee, Tan Yi Wen (Year 2 Pharmaceutical Science student)
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