Michael Lowney is an accomplished machine learning engineer and data scientist with a strong background in electrical engineering. He holds a Master of Science degree in Electrical Engineering from Stanford University and a Bachelor of Science degree in Electrical Engineering from the University of Illinois at Urbana-Champaign. Throughout his career, he has worked in various roles at organizations such as StormForge, IronNet Cybersecurity, Celect Inc, MIT Lincoln Laboratory, and NASA Langley Research Center.

At StormForge, Michael Lowney serves as a Senior Machine Learning Engineer. His role involves developing innovative machine learning algorithms to optimize and manage cloud-native workloads. Previously, he held the position of Senior Data Scientist at IronNet Cybersecurity, where he led a team of data scientists to develop solutions for detecting and mitigating cyber threats. Prior to that, he worked as a Data Engineer at Celect Inc, where he built and managed data pipelines for their machine learning products.

Michael Lowney's expertise spans data engineering, machine learning, and cybersecurity. He has extensive experience in designing and implementing data pipelines, developing machine learning algorithms, and building cybersecurity solutions. He also has experience working with large datasets, cloud computing platforms, and programming languages such as Python, Java, and SQL. Overall, his background combines technical expertise in electrical engineering and machine learning with practical experience in developing data-driven solutions for real-world problems.