2023/05 Applied Bioinformatics & Public Health Microbiology conference short talk, "Implementation and operationalization aspects of omics machine learning applications for public health"

2023/04 U of M IMED7280 block lecture: Multi-omics data analytics & machine learning applications

2022/04 U of M Biostat & Bioinfo journal club, “The application and consideration of the PangoLEARN machine learning SARS-CoV-2 lineage classification tool”

2022/02 Health Canada Science Forum 2022, “Evaluating the pangoLEARN machine learning application for COVID-19 genomic classification: More than meets the eye”

2021/05 U of M NEXUS Data Science Conference 2021, "Where can I apply data science skills for public health?" (URL)

2020/02 U of M Faculty of Science Interdisciplinary Seminar, “From University to Work: An adventure in Biological Data Sciences” (Video)

2020/02 U of M Biostat & Bioinfo journal club, “Source prediction of food-borne infections using machine learning approaches“

2020/06 Instructor, a machine learning workshop for the summer school of the VADA graduate program, University of Manitoba

2019/07 CAMDA metagenomic forensic data challenge at the ISMB/ECCB2019 conference: "Systematic evaluation of supervised machine learning prediction of sample origin using metagenomic sequencing data" (Video)

2019/06 Speaker, Winnipeg Data Science Meetup: “Data science for omic data”, Winnipeg

2019/03 U of M Biostat & Bioinfo journal club: “Deep learning for taxonomy classification“

2022/05 - 2022/08 Taylor Davedow, Internship, VADA graduate program, University of Manitoba

2022/01 - 2022/04  Agape Seo, Co-op, Computer Science, University of Manitoba

2020/01 - 2020/08 Alyssa Garrard, Co-op, Biological Sciences, University of Manitoba