Christopher Barkey earned a Bachelor’s degree in Mechanical Engineering from the University of Michigan and a Master’s in Computer Science at the Georgia Institute of Technology. He is a software engineer and machine learning practitioner with experience developing data pipelines and machine learning models; as a research assistant, he built a multi-country outage monitoring pipeline integrating European infrastructure APIs, and he has developed machine learning models through graduate coursework and independent technical projects. Previously, he worked as a field engineer on a 150-MW solar farm and co-authored drone geofencing research presented at the AIAA Aviation Forum. He is passionate about applying software and machine learning to improve decision-making and support clean energy systems.

He is a member of the NobleReach Scholars 2026 Cohort.