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About Us

Our Story

MateSel was originally developed by Brian Kinghorn, a quantitative geneticist whose research has focused on improving the sustainability and effectiveness of breeding programs. What began as a research direction, evolved into a practical tool used worldwide by breeders and breeding companies, service providers, and researchers across multiple industries. Today, MateSel continues to build on that scientific foundation while delivering modern software that helps breeders make confident decisions in increasingly complex breeding environments.

Our Team

Although we work with some talented contractors, technology partners, and industry partners to help with such things as product design, software security testing, marketing, and the like, MateSel is primarily a family run business.

Professor Brian Kinghorn

Professor Brian Kinghorn

Founder / Scientific Lead

Brian has worked in theory and practice of applying genetics to breeding programs, with experience in all key animal industries. Expertise ranges from use of genomic information to overall design of breeding programs. This has involved the aim to integrate decision-making across all key technical and logistical issues – work that started in the 1980s and with good collaboration has resulted in widespread uptake. Brian is also a mechanic, and Emeritus Professor at University of New England.

Sandy Kinghorn

Sandy Kinghorn

Founder / Product and Software Lead

Sandy has 25 years of software design and development experience across the education, health, and animal/plant breeding industries. He has held roles ranging from Tech Lead and CTO to Product Manager and General Manager, but his real passion is working directly with end-users to design intuitive systems that make complex workflows simple. When he’s not solving software problems, Sandy can be found playing soccer, mountain biking, or on the beaches of northern NSW.

Employee Name

Dr. Andrew Kinghorn

Senior Researcher

Andrew is a Senior Researcher at MateSel. His work centres on modelling biological systems, simulating evolutionary processes, and developing bioinformatic tools to support genetic research and breeding programs. He has over 15 years of experience integrating deep biological expertise with advanced computational and engineering approaches and is applying this to help develop new MateSel features. Andrew also enjoys working on classic motorcycles.