Stephen Notley
About Stephen Notley
Stephen Notley serves as the Director of Field Engineering at Wallaroo.AI, where he focuses on practical applications of machine learning and deep learning. He has previously held positions at Tempus Labs, Inc. and MathWorks, contributing to various engineering and solution architecture roles.
Current Role at Wallaroo.AI
Stephen Notley serves as the Director of Field Engineering at Wallaroo.AI, a position he has held since 2024. His role involves overseeing field engineering operations and ensuring the effective implementation of machine learning solutions. Notley is based in Boston, Massachusetts, and continues to contribute to the company's mission of advancing machine learning technologies.
Previous Experience at Wallaroo.AI
Before his current role, Stephen Notley worked at Wallaroo.AI as Manager and Lead of Field Engineering from 2023 to 2024. During this 11-month tenure, he focused on enhancing the company's engineering capabilities and fostering the application of machine learning solutions. His remote position allowed him to collaborate with teams across various locations.
Experience at Tempus Labs, Inc.
Stephen Notley worked at Tempus Labs, Inc. for two years, from 2021 to 2023. He initially held the position of Solution Architect and later advanced to Lead Solution Architect for a four-month period in 2023. His work involved designing solutions that leverage data analytics and machine learning, particularly in the healthcare sector.
Educational Background
Stephen Notley studied at Rensselaer Polytechnic Institute, where he earned a Bachelor’s Degree in Computer Science from 2014 to 2017. He continued his education at the same institution, obtaining a Master of Science in Computer Science from 2017 to 2018. His academic background laid the foundation for his expertise in machine learning and deep learning.
Specialization in Machine Learning
Stephen Notley specializes in machine learning and deep learning, with a focus on practical applications in various sectors, particularly healthcare. His deep interest in applying machine learning techniques to real-world problems has guided his career choices and project involvements throughout his professional journey.