Sabine Chavin

Sabine Chavin is an experienced energy modeler with a background in complex data analysis. Specifically, she works on issues related to wholesale markets, resource planning, state and federal energy legislation, tracking utility performance, and energy storage. She regularly conducts electric sector capacity expansion and production cost modeling to assess the impacts of energy policies and other market drivers. Her recent work has focused on analyzing the impacts of data center-driven load growth, interconnection queue delays, proposed PJM state policies, and the role of clean energy technologies in contributing to reliability and resource adequacy. Sabine has also assisted in testimony development focused on resource planning and power plant economics in Texas, New Mexico, Arizona and Virginia. 

Prior to joining Synapse, Ms. Chavin worked in biophysics research at the University of Pennsylvania. She used Python to model neural navigation processes in Professor Vijay Balasubramanian’s neuroscience lab and analyzed structures of parasites using cryo-electron microscopy techniques in Dr. Yi-Wei Chang’s structural biology lab.  

Ms. Chavin holds a B.A. in Physics with a concentration in Computer Techniques and an M.S. in Physics both from the University of Pennsylvania.