Summary
Matthew Orton is a computational biologist and PhD candidate in Bioinformatics at the University of Guelph with a decade of experience applying statistical and informatics approaches to molecular ecology and eDNA. He develops reproducible software pipelines and user-friendly web tools for DNA barcoding, metabarcoding, primer design, and weather-crop analytics, and collaborates internationally on Arctic insect community studies. His work bridges hands-on lab experience (genetic engineering and synthetic biology) with machine learning methods for family-level sequence identification, reflecting both wet-lab and computational fluency. Based in Guelph, Ontario, he brings practical product-minded engineering to academic research, including tools tailored for environmental monitoring and crop timing that emphasize accessibility for end users.
10 years of coding experience
Graduate Certificate, Bioinformatics, Graduate Certificate, Bioinformatics at Seneca College of Applied Arts and Technology
Bachelor of Science (B.Sc.), Honours Biopharmaceutical Science, Bachelor of Science (B.Sc.), Honours Biopharmaceutical Science at University of Ottawa / Université d'Ottawa
English