Aditya Choukulkar

Staff Data Scientist, Power Markets @ Form Energy

About Aditya Choukulkar

Aditya Choukulkar is a Staff Data Scientist specializing in Power Markets at Form Energy, with over eight years of experience in enhancing weather and climate models. He has held various research and data science positions at institutions such as NOAA and Arizona State University, contributing significantly to renewable energy simulation and atmospheric measurements.

Work at Form Energy

Aditya Choukulkar currently serves as a Staff Data Scientist in Power Markets at Form Energy. He has been in this role since 2022. His work focuses on analyzing data related to power markets, contributing to the company's efforts in renewable energy solutions.

Education and Expertise

Aditya Choukulkar earned a PhD in Environmental Fluid Dynamics from Arizona State University, where he studied from 2009 to 2013. His educational background includes a focus on atmospheric sciences, which supports his expertise in improving weather and climate models through high-resolution atmospheric measurements.

Background

Aditya Choukulkar has a diverse professional background, having worked in various roles related to atmospheric and oceanographic research. His career includes positions at Arizona State University, NOAA, and the Indian Space Research Organisation. He has over 8 years of experience in the field, contributing to interdisciplinary teams focused on environmental data.

Previous Roles and Experience

Before joining Form Energy, Aditya held several significant positions. He worked as an Energy Data Scientist at Vibrant Clean Energy, LLC from 2019 to 2022, and as a Research Scientist at NOAA from 2014 to 2019. His experience also includes roles as a Research Assistant and Faculty Associate at Arizona State University, and as an Environmental Consultant at Trinity Consultants.

Research Contributions

Aditya Choukulkar has made notable contributions to the field of renewable energy through his research. He specializes in quantifying the reliability value of variable renewable generators and storage. He has developed high-resolution weather and climate datasets tailored for energy system models, enhancing the simulation of renewable energy production and infrastructure response.

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