About Me

Max is a master's student in Computer Science at the University of Waterloo, where his research focuses on machine learning applications in bioinformatics and computational biology. His current work explores deep learning approaches for analyzing large-scale biological sequencing data. He is also involved in metatranscriptomic research investigating host–pathogen interactions and infectious disease diagnostics. He brings over four years of experience in bioinformatics and software development.

Education

Master of Mathematics in Computer Science

University of Waterloo 2025–2027

Bachelor of Science, Honours Biology, Co-op

University of Waterloo 2020–2025
  • Minor in Computing, Focus in Molecular Genetics
  • Dean's Honours

Research Affiliations

Research & Professional Experience

Bioinformatics Researcher — Doxey Lab

University of Waterloo 2024–2025
  • Applied metatranscriptomic approaches to investigate host and pathogen responses in pediatric urinary tract infections, including distinguishing cystitis from pyelonephritis.

Bioinformatics Software Developer

Ontario Institute for Cancer Research (OICR) Winter 2024
  • Developed bioinformatics software to support cancer biomarker discovery and validation.

Bioinformatics Assistant

Ceragen 2023
  • Performed genomic analyses of plant-growth-promoting microorganisms and developed data-processing pipelines.

Teaching Experience

Graduate Teaching Assistant

University of Waterloo 2025–Present
  • CS 338: Computer Applications in Business: Databases (Spring & Fall 2026)
  • CS 482/682: Computational Techniques in Biological Sequence Analysis (Winter 2026)
  • CS 330: Management Information Systems (Fall 2025)

Publications

  1. Ngai, T., Homm, M., Bradbury, M., & Crisan, A.
    Interactive Machine Learning Interfaces for Disease Risk Prediction: Effects on Risk Perception and Behaviour.
    arXiv preprint, arXiv:2610.03511 (2026).
    * The first three authors contributed equally.
    Read Paper

  2. Doxey, A.C., Abu Mazen, N., Homm, M. et al.
    Metatranscriptomic profiling reveals pathogen and host response signatures of pediatric acute sinusitis and upper respiratory infection.
    Genome Medicine 17, 22 (2025).
    Read Paper

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Poster Presentations

CSM Logo

2025 Canadian Society of Microbiologists

University of Montreal, Montreal, Quebec · June 2025

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DNA Research

Undergraduate Thesis Poster Presentation

University of Waterloo, Waterloo, Ontario · April 2025

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Contact

Feel free to reach out via email:

mchomm@uwaterloo.ca