Our People

Khurram Nadeem

Khurram Nadeem

Associate Professor, Mathematics and Statistics

Predictive modeling of ecological and environmental processes via big data analytics; wildland fire occurrence prediction; modeling of spatio-temporal processes

Website:

https://mathstat.uoguelph.ca/people/nadeem

John Nash

Associated Faculty, Department of Pathobiology; Senior Research Scientist and Chief, Innovation and Application Section, Division of Enteric Diseases, National Microbiology Laboratory, Public Health Agency of Canada

Metagenomics; genomics of food enteric pathogens and plasmids; transmission dynamics of virulence; antimicrobial resistance

Joseph O'Neill

Joseph O'Neill

M.Binf. ‘14

I started in physics, switched to Bio-Med, then finished with a degree in biology at U of G.  During undergrad I was interested in computer programming and taught myself C++. On a lark, I used my learned skills to try algorithmic trading, and realized I loved completing cool AI and automation programming projects. Combining these interests, I excitedly enrolled in the U of G Master of Bioinformatics program. I enjoyed my experience in the program.

The program enabled me to get a great job at Vineland Research and Innovation Centre. The experience here has been immense. I’ve learned so much about genome assembly, NGS analysis, servers, cluster computing, variant mining, restriction enzymes, machine learning, PCR primer design, diversity/relatedness phylogenetic analysis, genetic linkage maps, QTL mapping, genome browsers, etc. I get to do all of it, on a variety of different species.

Matthew Orton

Program: Ph.D.

Advisor: Dr. Sarah Adamowicz

 

Research:

My Masters research is focused primarily on developing software pipelines for the analysis of DNA barcoding data from BOLD.  Current research focuses on:

  • Informatics approaches to studying the relationship between rates of molecular evolution and the latitudinal biodiversity gradient using geographical coordinate data and COI barcoding data.
  • Informatics approaches to studying Arctic Dipteran bio-geography and community similarity across the regions of Canada, Greenland and Norway.
  • Development and field validation of software used in primer design of in-situ qPCR assays of Trichopteran species in Churchill, Mb.