In her role as associate, Kseniya brings to Cadeo a diverse skill set in data science, project management, and research. She specializes in work that supports power grid decarbonization through the deployment of distributed energy resources. Prior to joining Cadeo, Kseniya spent three years studying for her Master’s degree at the University of Michigan. At UM, she served as a Dow Sustainability Fellow and assisted the Michigan Land Bank in assessing challenges and opportunities for siting distributed generation on brownfield sites across Michigan.
During graduate school, Kseniya took on a number of research roles. She assisted the EPA in conducting a choice experiment study estimating the value of travel time for ride-hailing customers. She also built a prototype for automated detection of disinformation with the eScience Institute. Additionally, she worked to improve the Distributed Generation Market Demand model usability at the National Renewable Energy Lab. Prior to graduate school, Kseniya worked for GRID Alternatives, a nonprofit organization that brings solar technology (and its benefits) to communities that would not otherwise have access to it. In this role, she helped administer various state-level programs in California and project managed over one hundred residential solar installations.
Kseniya holds a Master of Information Science and Public Policy with a concentration in Energy from the University of Michigan. In her free time, Kseniya loves to go on long walks and tend to her garden.