Desi R. Ivanova

Desi R. Ivanova

DPhil Student in Statistics

University of Oxford

I’m interested in machine learning and statistics more broadly (particularly Bayesian). Currently, I’m on the StatML programme at the University of Oxford, working with Tom Rainforth and Yee Whye Teh.

Before joining the StatML CDT, I spent four years as a quant researcher in the City of London. I worked in quantitative equity research and later in cross-asset systematic trading strategies structuring.

I’m passionate about the proper use of statistics (both modelling and interpretation of results).

  • Probabilistic machine learning
  • Deep learning
  • Statistics and data science
  • Sports (doing, watching and analytics)
  • DPhil Statistics (StatML programme), 2020-2024

    Univeristy of Oxford

  • Master of Mathematics, Operational Research, Statistics and Economics (MMORSE), 2011-2016

    University of Warwick

  • Mathematics (Erasmus programme), 2014-2015

    LMU Munich