Liz Theurer
About Liz Theurer
Liz Theurer is a Software Engineering Manager at Form Energy, with a strong background in engineering and software development. She has held various positions in notable companies and has expertise in image processing, data science, and time series forecasting.
Work at Form Energy
Liz Theurer currently serves as a Software Engineering Manager at Form Energy, a position she has held since 2023. Her role is based in the San Francisco Bay Area, with a remote working arrangement. In this capacity, she oversees software engineering projects and contributes to the development of innovative energy solutions.
Previous Experience in Software Engineering
Before joining Form Energy, Liz Theurer worked at Voltus, Inc. as Engineering Manager - Data Science from 2019 to 2023. She also held the position of Software Engineering Team Lead at SolarCity from 2014 to 2016. Additionally, she worked as a Senior Software Engineer at United Income from 2016 to 2018, showcasing her extensive experience in software engineering across various organizations.
Educational Background
Liz Theurer studied at The Johns Hopkins University, where she earned a Master of Science degree in Electrical and Computer Engineering. Prior to that, she completed her Bachelor of Science degree in Mechanical Engineering and Mathematics at the Massachusetts Institute of Technology. Her educational background provides a strong foundation for her expertise in engineering and technology.
Internship and Early Career Experience
Liz Theurer began her career with several internships that contributed to her professional development. She interned at Continental as an Advanced Driver Safety Intern in 2009, and at Asia Consulting Group (P) Ltd. in 2008. Additionally, she gained experience as an intern at Recycla Chile S. A. from 2009 to 2010, and as an Undergraduate Research Assistant at MIT Sloan School of Management in 2007.
Technical Skills and Expertise
Liz Theurer possesses a strong background in image and signal processing techniques, along with expertise in time series forecasting using ARIMA models. She is experienced in clustering analysis and principal component analysis. Her skills extend to agile methodologies, continuous integration, and test-driven development environments, making her well-equipped for her roles in software engineering.