AnniZ Lab

Uncovering Diverse Microbial Mechanisms via AI

Our Research:

  • Guide microbiome therapeutics design
    • Discover novel genetic exchange mechanisms
  • Enhance phage therapy
    • Predict phage host range
    • Identify novel phage defense
  • Develop bacteria-based cancer therapy
    • Predict DNA-protein binding patterns

PhD Positions Available!

Requirements

  • A curiosity about microbes
  • An interest in coding
  • A dedication to research

What to expect as a student here:

  • Receive training in critical thinking and hypothesis testing
  • Gain a solid foundation in statistics, microbiology, and AI computation
  • Develop skills in coding, analysis, visualization, and public speaking
  • Practice collaboration and communication
  • More importantly, we care about your future! We are happy to mentor you in career development.
Contact us!

Dr Anni Zhang, Assis Prof at NTU

Highlighted Discoveries

Case 1 of 6:
Sequence aligners use fixed-size k-mers in their algorithms, with the choice of k-mer size significantly impacting alignment quality. Our tool, Mapper, overcomes this by dynamically incorporating k-mers of various sizes (x-mers).
Case 2 of 6:
Gut microbiomes are actively adapting in healthy human subjects through accumulating beneficial mutations in carbohydrate transport regulators.