Micah Botkin Levy
About Micah Botkin Levy
Micah Botkin Levy is a Senior Software Modeling Engineer at Form Energy, Inc., specializing in grid modeling software and energy storage solutions. He has extensive experience in data science and engineering roles across various organizations in the energy sector.
Current Role at Form Energy
Micah Botkin Levy serves as a Senior Software Modeling Engineer at Form Energy, Inc. since 2022. In this role, he focuses on designing grid modeling software aimed at enhancing the adoption of energy storage solutions. His work involves utilizing cloud deployment and Kubernetes for production software in energy systems, contributing to the advancement of energy technologies.
Previous Experience in Data Science
Prior to his current position, Micah worked at eIQ Mobility, a NextEra Energy Resources Company, where he held the role of Senior Data Scientist from 2020 to 2022. He previously served as a Data Scientist at the same company from 2019 to 2020. His responsibilities included applying data analytics to improve energy efficiency and mobility solutions.
Educational Background
Micah Botkin Levy earned a Master of Science in Electrical and Electronics Engineering from the University of Vermont, where he studied from 2017 to 2019. He also holds a Bachelor's Degree in Electrical Engineering from the same institution, completed between 2011 and 2015. His academic background provided a strong foundation for his expertise in the energy sector.
Internship Experience in Energy Sector
Micah has gained valuable experience through various internships in the energy sector. He worked as an Engineering Intern for Efficiency Vermont at the Vermont Energy Investment Corporation in 2014 and as a Data Operations Intern at EnerNOC in 2015. Additionally, he held an Operations Performance, Training and Integration Intern position at ISO New England in 2013, and served as an Energy Storage Student Engineer at the Electric Power Research Institute (EPRI) in 2018.
Expertise in Energy Systems
Micah specializes in model predictive control and distributed control within the energy sector. He has developed software tools specifically for optimizing the performance of multi-day energy storage assets. His expertise extends to timeseries forecasting and optimization for energy markets, positioning him as a knowledgeable professional in energy analytics and software development.