abstract: Broadly speaking, an energy landscape is the graph of a loss function over a parameter space. Some examples include the energy landscape of a chemical reaction, measuring the fitness of a mechanism to perform given tasks, and a loss function arising from a training set in machine learning. This talk will discuss some successes of using computational techniques arising in numerical algebraic geometry to analyze energy landscapes arising in science and engineering applications.