Nanxiang (Samuel) Zhao

Doctoral Student since January 2017
Bioinformatics Candidate

Research areas

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

Education

  • B.S.: Biomedical Science, University of Waterloo
  • M.S.: Bioinformatics, University of Michigan

Honors and Awards

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

Background

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