Dorka graduated from the University of Szeged in 2014 with a BSc in Mathematics with pure mathematics specialization. She wrote her undergraduate thesis on continuous-state branching processes. Dorka also studied for three years in Medical school. During her studies she developed a high interest in interdisciplinary mathematics and stochastics, which made her particularly enthusiastic about SAMBa. In her spare time she enjoys running, cycling, hiking and bird watching.

Research project title:
SDEs for embedded successful genealogies

Supervisor(s):
Andreas Kyprianou

Project description:
Dorka used the mathematical medium of stochastic differential equations (SDEs) to describe the fitness of certain sub-populations in an asexual high-density stochastic population model known as a continuous-state branching process. In particular, she looked at ways to describe genealogies that propagate prolific traits in surviving populations, where ‘survival’ can be interpreted in different ways. For example, it can mean survival beyond a certain time horizon, but it can also mean survival according to some spatial criteria.