Patrick Coughran
About Patrick Coughran
Patrick Coughran is the Senior Director of Machine Learning at Descartes Systems Group, where he has worked since 2022. He has a background in computer science and artificial intelligence, holding a patent in machine learning and achieving significant fuel savings through innovative routing solutions.
Current Role at Descartes Systems Group
Patrick Coughran serves as the Senior Director of Machine Learning at Descartes Systems Group. He has held this position since 2022, working remotely. In this role, he established a machine learning organization that has led to significant reductions in prediction error. His contributions include innovations in real-time routing, which have resulted in the annual savings of 18 million gallons of fuel.
Previous Experience at Foxtrot Systems
Prior to his current role, Patrick co-founded Foxtrot Systems, where he served as Chief Technology Officer from 2013 to 2022. During his tenure, he managed teams of over 25 professionals and achieved a talent retention rate that was four times higher than the industry average. His leadership contributed to the company's growth and technological advancements.
Educational Background
Patrick Coughran has a diverse educational background. He studied Computer Science at Tufts University, earning a Bachelor of Science (BS) from 2012 to 2014. He also completed the CORe: Credential of Readiness program at Harvard Business School in 2014. In 2023, he furthered his education at MIT xPRO, focusing on Artificial Intelligence and achieving a certification in Designing and Building AI Products.
Fellowship and Early Career
Patrick participated in a climate-focused fellowship at Climatebase in 2022 for two months. He was also a Thiel Fellow from 2015 to 2017, which provided him with unique opportunities to develop his skills and network within the technology sector. His early career included a student role at Tufts University from 2012 to 2014.
Patents and Innovations
Patrick holds one patent and has two additional patents pending in the field of machine learning, specifically related to delivery routing. His work in this area reflects his commitment to advancing technology and improving operational efficiencies.