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Nathan Cahill, PhD, has a diverse work experience in various companies and roles. Nathan is currently working as a Lead Data Scientist at agilon health since October 2023. Before that, they were a Founding ML Engineer at Oplus.ai from June 2022 to August 2023, where they focused on developing Large Language Models for healthcare applications.

In the past, Nathan worked at Xpress Technologies as the Director of Machine Learning from May 2020 to May 2022. During their tenure, they provided technical and people leadership, initiated new ML products, and launched an entirely new product line that generated a $30m run rate within a year. Nathan also worked as a Lead Machine Learning Engineer at Xpress Technologies from August 2019 to May 2020, where they developed a comprehensive pricing model, designed user-based recommendation algorithms, and implemented geolocation enhancements for truckload applications.

Prior to their time at Xpress Technologies, Nathan held the position of Principal Guidance, Navigation, and Controls Engineer at Northrop Grumman from January 2018 to June 2019. Nathan was responsible for developing an enhanced version of the embedded alpha control system and pioneering automation tools for generating flight test reports.

Nathan started their career as a Robotics Engineer - Research and Development at SpringActive, Inc. from October 2010 to August 2014. During this time, they focused on optimizing robotic leg mechanisms and developing adaptive gait controllers.

Overall, Nathan Cahill, PhD, has a strong background in data science, machine learning, and engineering, with a track record of leading teams, driving innovation, and achieving significant results in various industries.

Nathan Cahill, PhD, earned their Bachelor's Degree in Mechanical Engineering from Arizona State University in 2014. Nathan then went on to obtain their Doctor of Philosophy (Ph.D.) in Mechanical Engineering and Robotics from the same institution, completing their studies in 2017.