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Olga Egorova

Dr Olga Egorova

Research Associate

Research interests

  • Mathematics

Contact details

Biography

Olga joined the Statistics group in April 2021 as a Research Associate. She is currently working on methodology developments in the area of multi-objective optimal experimental design.

After obtaining her PhD from the University of Southampton (UoS) in 2017, she worked as a statistical consultant on a range of data-management and modelling problems in transport and construction. Olga went back to academia in 2018, when she worked on a project with the School of Chemistry at the UoS, and then joined a collaborative project in material and aerospace engineering, focusing on bringing together computer modelling and physical experimentation that would provide the decision-making framework for optimal resource allocation in testing the composite aero-structures.

Research Interests

Olga’s main research interests lie in the area of optimal design and analysis of experiments, combining data from physical and computer experiments and Bayesian statistical methods and applications.

 Further Information

 Research profile and publications

    Research

    ARTICLE Graphs 2
    Statistics

    The group has research strengths in the design and analysis of experiments, time series and Markov chain Monte Carlo and sequential Monte Carlo methods.

    Events

    22FebNMES Nov 27 2023-147

    Women in Maths Panel Discussion

    A panel discussion with early career researchers about current opportunities and challenges for female mathematicians.

    Please note: this event has passed.

      Research

      ARTICLE Graphs 2
      Statistics

      The group has research strengths in the design and analysis of experiments, time series and Markov chain Monte Carlo and sequential Monte Carlo methods.

      Events

      22FebNMES Nov 27 2023-147

      Women in Maths Panel Discussion

      A panel discussion with early career researchers about current opportunities and challenges for female mathematicians.

      Please note: this event has passed.