Adrian Hagerty
About Adrian Hagerty
Adrian Hagerty is a Software Engineering Manager at Edge Case Research in Munich, Germany, where he has worked since 2022. He has a strong background in mathematics, holding a PhD from Carnegie Mellon University, and has experience in both teaching and software engineering roles.
Work at Edge Case Research
Adrian Hagerty serves as a Software Engineering Manager at Edge Case Research, a position he has held since 2022 in Munich, Bavaria, Germany. In this role, he leads a team of engineers focused on developing software products that monitor, test, verify, and validate autonomous systems. His responsibilities include orchestrating the packaging and deployment of software to onsite customer clusters. Additionally, he provides high-level technical architecture guidance and mentorship to his engineering team, ensuring alignment with the company's product vision.
Previous Experience at Carnegie Mellon University
Adrian Hagerty has a history of working at Carnegie Mellon University, where he held various instructional roles. He served as an Instructor for two months in both 2017 and 2018 in the Greater Pittsburgh Area. Prior to that, he worked as a Teaching Assistant for two months in 2014 and 2015, also in the Greater Pittsburgh Area. These roles contributed to his experience in academia and his development as an educator in the field of mathematics.
Education and Expertise
Adrian Hagerty earned both his Bachelor of Science (BS) and Doctor of Philosophy (PhD) in Mathematics from Carnegie Mellon University. He completed his BS from 2009 to 2013 and his PhD from 2013 to 2019. His extensive education in mathematics underpins his expertise in software engineering and machine learning, which he applies in his current role at Edge Case Research.
Technical Leadership and Customer Engagement
In his current position, Adrian Hagerty plays a crucial role in technical leadership and customer engagement. He regularly meets with customers to understand their needs, ensuring that these insights are communicated to the internal product group. This collaboration helps align the engineering team's solutions with the overall product vision, enhancing the effectiveness of the software products developed for autonomous systems.