Presidential Young Professor at National University of Singapore
Singapore, Singapore
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Summary
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Boxiang Liu is a computational biologist and statistician bridging AI/ML and medicine with 12 years of experience across academia and industry. As a Presidential Young Professor at NUS and former Staff Research Scientist at Baidu, he leads projects in biomedical NLP, viral genomics, spatial transcriptomics, and ultrafast mRNA design algorithms. His Stanford PhD work produced methods for linking genetic variation to complex disease and has informed high-impact consortia and papers in Nature and PNAS. He combines rigorous statistical training with practical engineering—shipping tools like CoV-Seq and contributing to LinearTurboFold—so his work moves from algorithm to usable software. Based in Singapore, he advises companies on bioinformatics productization and maintains an active lab that integrates molecular diagnostics, imaging, and literature mining. An occasional quirk: he traces his interdisciplinary roots back to undergraduate projects that spanned EKGs to optical traps, reflecting a long-standing taste for building experimental systems.
12 years of coding experience
10 years of employment as a software developer
Bachelor Biophysics, Bachelor Biophysics at Illinois Wesleyan University
Doctor of Philosophy (PhD) Computational Biology, Doctor of Philosophy (PhD) Computational Biology at Stanford University
LocusCompareR is a R package with visualization tools for comparing two genetic association datasets.
Contributions:1 release, 37 commits, 1 PR in 4 years 9 months
r-packagecomparingassociationgeneticrstats
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Boxiang Liu - Presidential Young Professor at National University of Singapore