Science & Data Solutions
Jacob Usinowicz is a quantitative ecologist with over a decade of experience innovating novel approaches to understand human impacts on ecosystems. His quantitative skillset draws broadly from fields as diverse as theoretical ecology, physics, machine learning, statistics, and computer science. Acting as a kind of ecological data scientist to wrangle diverse sources of data, he has applied his expertise to forecast population dynamics, measure biodiversity change, predict species distributions, and model food web dynamics. Jacob has worked with communities, non-profits, and NGOs to enhance decision making through data-driven insights and is well-practiced in the art of translating complex scientific concepts into clear, accessible language. He is an experienced mentor and teacher with a strong commitment to advancing sustainability.
Jacob obtained a Ph.D. in Biology from the University of Wisconsin, Madison and a B.A. in Human Ecology from the College of the Atlantic. Much of his time off is generally spent playing outdoors—with or without his two sons—hiking, running, biking, surfing; if he has to be inside he can probably be found painting or obsessively reading a new novel.