Michael Mascagni
Professor of Computer Science

Education
PhD., New York University, 1987
Research Interests
Stochastic computing; applications of Monte Carlo and Quasi-Monte Carlo algorithms in materials science, biochemistry, and physics; and the creation of computational infrastructure to support effective stochastic computing