interdisciplinary computing graduates collaborate with scientists or other professionals, applying their computing expertise to large-scale problems. they might use grid computing to study the first few picoseconds after the big bang or process enormous data streams from telescopic mapping experiments to analyze the orbits of potential earth-crossing asteroids. they could manage and expand biological databases to study the causes of worldwide biodiversity decline, apply machine learning techniques to design better chemotherapies, or develop optimization techniques to locate tornado sirens for maximum population coverage.