SFU computing science professor Martin Ester, a renowned data mining and machine learning researcher, has received a Distinguished SFU Professorship. This award recognizes SFU faculty members who have achieved exceptional performance and distinguished accomplishments relative to their rank and years of service.

Ester is most famous for the proposal of the DBSCAN algorithm for density-based clustering in 1996. Since then, he has become more interested in applying his research to molecular biology and medicine. Ester works closely with cancer researchers on developing data mining and machine learning methods that help them with cancer research, cancer diagnosis and treatment. In 2019, Ester was named a Royal Society of Canada Fellow for this research. In 2020, Ester received an Innovate BC award to support his research in developing machine learning methods for precision agriculture.

"Being named a Distinguished SFU Professor is a very special and encouraging recognition and a challenge to provide more leadership to SFU-wide initiatives such as the SFU Omics Data Science Initiative," says Ester.

Read our story on Ester’s Royal Society of Canada Fellowship >>

Read our story on Ester receiving the Innovate BC award >>

Read the full list of recipients for this Professorship in the SFU News story >>