معرفی
Christina Goldschmidt is a Professor of Probability at the University of Oxford's Department of Statistics and a Tutorial Fellow at Lady Margaret Hall. She holds a PhD from the Statistical Laboratory at the University of Cambridge, supervised by James Norris, and has held postdoctoral positions at Université Paris VI and EPSRC fellowships at Oxford. Her research focuses on random discrete structures, scaling limits of random graphs and trees, and combinatorial stochastic processes, including coagulation-fragmentation dynamics.
Education: BSc and MSc in Mathematics from Cambridge, PhD in Probability. Postdoctoral experience includes time at Université Paris VI under Jean Bertoin and roles at Pembroke College Cambridge and Warwick University.
Research Interests: Scaling limits of random graphs and trees, phase transitions in random networks, stable trees, and applications of stochastic processes to combinatorial structures.
Key Awards: EPSRC Early Career Fellowship (2016–2020), EPSRC Postdoctoral Fellowship (2007–2009). Active in the Probability research group at Oxford and supervises graduate students in stochastic processes and random graphs.
Labs/Teams: Member of the Probability Group at the Department of Statistics, collaborating internationally on projects related to random graph scaling limits and combinatorial analysis.
