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 working in finance – first in quantitative equity research at UBS and later in cross-asset systematic trading strategies structuring at Goldman Sachs.

I’m passionate about the proper use of statistics (and machine learning) both during the data modelling stage, and, crucially, when evaluating and interpreting the results of such statistical analyses.

  • 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

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