Maxfield Green
About Maxfield Green
Maxfield Green is a Data Scientist with a background in data science and complex systems, currently employed at E Source in Boulder, Colorado. He has experience in various roles, including internships and assistantships at notable institutions such as EQUITAS Life Sciences and Columbia University.
Current Role at E Source
Maxfield Green has been employed as a Data Scientist at E Source since 2020. His work primarily involves data analysis and the development of models that support decision-making processes. Based in Boulder, Colorado, he has contributed to various projects that leverage data science techniques to enhance operational efficiency and deliver insights for clients.
Previous Experience in Data Science and Research
Prior to his current position, Maxfield Green gained valuable experience in data science and research roles. He served as a Data Science Intern at EQUITAS Life Sciences for three months in 2019, where he contributed to data-driven projects. Additionally, he worked as a Geospatial Deep Learning Engineer at the University of Vermont for four months in 2020, focusing on advanced modeling techniques.
Education and Academic Background
Maxfield Green completed his Master of Science in Complex Systems and Data Science at the University of Vermont from 2018 to 2020. His graduate studies emphasized modeling wildfires using remote sensing data and developing deep learning models. He also holds a Bachelor of Science in Data Science from the same institution, which he completed from 2015 to 2019.
Teaching and Mentorship Experience
In 2020, Maxfield Green worked as a Teaching Assistant at Columbia University for five months, where he supported faculty and assisted students in understanding complex data science concepts. His role involved facilitating discussions and providing guidance on coursework, contributing to the educational development of his peers.
Additional Skills and Interests
Maxfield Green has developed computer vision tools for the University of Vermont Spatial Analysis Lab, enabling automatic semantic class segmentation. He has published research aimed at both human and machine consumption. Outside of his professional pursuits, he has competed nationally as an indoor rock climber and has experience as an ice climbing guide in Vermont's Green Mountains.