Connor Dibble

Connor Dibble is the Lead Data Engineer at Scoot Science. Prior to joining Scoot Science, Connor was a Data Engineering Fellow at Insight Data Science from January 2020 to April 2020. Connor has also worked as a Graduate Research Fellow at the National Science Foundation and Bodega Marine Lab from September 2014 to March 2020, where they received their PhD. Connor's first job was as a Biologist at URS Corporation, An AECOM Company, from April 2010 to March 2012.

Connor Dibble completed a Bachelor of Science in Environmental Science at the University of California, Berkeley. They then went on to complete a Bachelor of Arts in Integrative Biology at the same school. After this, they completed a Master of Science in Ecology at the University of California, Davis. Finally, they completed a Doctor of Philosophy in Ecology at the University of California, Davis.

Connor Dibble works with Andrew Freitas - Lead Software Engineer, Anna Kaplan - Software Engineer, and Ollie Steiner - Data Engineer. Connor Dibble reports to Evan Goodwin, Co-Founder & CTO.