Speakers

Chris Lawrie is a Senior Data Scientist specializing in modeling distributed energy resources (DERs). An expert in machine learning and optimization-based modeling, his work focuses on developing methodologies to forecast granular adoption patterns and time series electric demand for technologies such as batteries, electric vehicles (EVs), photovoltaic (PV) systems, and heat pumps.

Chris has delivered premise-level forecasts at scale for use cases spanning grid infrastructure planning, policy design, and customer program development. His models and pipelines have supported stakeholders across the energy ecosystem, including utilities, regulators, and state agencies.

Holding two engineering degrees from Princeton University, Chris brings experience from quantitative finance and mechanical engineering. He has also led multiple training sessions for state agencies focused on planning for electrification and load growth.