Theoretical Condensed Matter
Marija Vucelja is a theoretical physicist interested in biophysics, soft condensed matter and computational physics. She studied mixing and clustering of particles in flows; problems that are relevant for understanding the formation rain droplets and planetesimals, clustering of pollutants on water surfaces and many industrial applications. She derived the compressibility of surface flows and described the aggregation-disorder transition of particles in flows. Using “chaotic mixing” she substantially accelerated certain Monte Carlo algorithms (the main numerical tools for studying complex systems). Next, Marija studied the emergence of clones in populations. Drawing analogies between glassy systems and population dynamics she calculated the rate of coalescence (the probability of two individuals belonging to the same clone). Marija is working on inference problems in biophysics, topology of structural glasses, and on developing efficient algorithms for studying glassy systems.