Nanxiang (Samuel) Zhao

Doctoral Student since January 2017
Bioinformatics Candidate

Research areas

  • Gene Regulation
  • High-throughput genomics
  • Signal Processing and Machine Learning Algorithms Application


  • B.S.: Biomedical Science, University of Waterloo (2016)
  • M.S.: Bioinformatics, University of Michigan (2018)

Honors and Awards

  • Rackham Graduate Student Research Grant (pre-candidate & candidate)
  • NVIDIA GPU Grant Program


Nanxiang (Samuel) Zhao current research focuses on developing a computational method to identify regulatory elements genome-wide utilizing signal processing and machine learning techniques.

Boyle lab papers

  1. Zhao N and Boyle AP. 2021. F-Seq2: improving the feature density based peak caller with dynamic statistics. NAR Genomics and Bioinformatics. 3: lqab012. DOI: 10.1093/nargab/lqab012.