Aidan Russell, PhD
About Aidan Russell, PhD
Aidan Russell, PhD, is the Founder Residency at Antler in London, where he has worked since 2024. He has extensive experience in data science and machine learning, having held various positions at notable companies including INFOGRID, FlixBus, and Rolls-Royce.
Work at Antler
Aidan Russell currently serves as the Founder Residency at Antler, a role he has held since 2024. He is based in London, England, and works on-site. In this position, he focuses on ensuring product-market fit and customer satisfaction through collaboration with product management teams. His experience in startup accelerator programs has equipped him with insights into early-stage company development.
Previous Experience in Data Science and Engineering
Before joining Antler, Aidan Russell was the Head of Data Science & ML Engineering at INFOGRID from 2020 to 2023. He has also held roles such as Senior Machine Learning Engineer at FlixBus and Principal Data Scientist at Rolls-Royce. His extensive background in data science includes positions at carwow and General Assembly, where he contributed to various projects and taught data science courses.
Educational Background
Aidan Russell has a strong academic foundation in the sciences. He earned a Doctor of Philosophy (PhD) in Physics from the University of Oxford, completing his studies from 2009 to 2014. He also holds an MSci in Physics from Imperial College London, obtained between 2004 and 2008, and an MPhil in Materials Science from the University of Cambridge, which he completed in 2009.
Focus on Team Development
Aidan Russell emphasizes the importance of recognizing the strengths of team members while developing their weaknesses. He aims to hire intelligent individuals and remove obstacles from their path, maintaining high standards in a judicious manner. His leadership approach fosters collaboration and encourages team growth.
Machine Learning and Business Strategy
Aidan Russell combines available data with the latest machine learning technologies to drive business revenue. His expertise in data science and machine learning allows him to focus on product-market fit and customer satisfaction, ensuring that the solutions developed meet market demands effectively.