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Danielle Varjosalmi

I am a PhD student at the Mathematics for Real-World Systems CDT.

My areas of academic interest include: simulation-based optimisation, automated model building, machine learning, and game theory. In particular, I am interested in the simulated annealing and Bayesian optimisation algorithms.

Current Work

My ongoing project involves exploring techniques to parallelise the simulated annealing algorithm for implementation in cloud-based architecture. The project is in collaboration with Lanner, a company that produces simulation software to model complex, stochastic processes. I am supervised by Prof. Juergen Branke (Warwick Business School) and Prof. Robin C. Ball (Physics).

Academic Background

  • Warwick Business School, MSc Business Analytics with Distinction (Top 10%)
  • University of British Columbia, BA Economics
  • University College London, Exchange

Summer Schools:

  • 2019: Gaussian Process and Uncertainty Quantification Summer School (GPSS)
  • 2019: Complex Networks: Dynamics and Control (MathSys and DSSC)

Additional Activities

Reading Groups:

I started and am actively involved in the Bayesian Optimisation Reading Group that meets every Wednesday at 10:30 in C1.06. We discuss both significant Bayesian optimisation papers and have tutorials on fundamental concepts important to understanding the field. See the link for more information!


  • 2018/2019, 2019/2020: Seminar Tutor for IB2110 Simulation at WBS

    Other Positions:

    • 2018 - Present: Centre for Complexity Science Newsletter Editorial Staff
    • 2017 - 2018: Enactus Warwick Consulting Team Leader
    • 2017 - 2018: MSBA SSLC Secretary

    Fun fact: Despite the location of my undergraduate degree and my accent, I am not in fact Canadian, but from Finland and China. I can speak fluent Finnish and Mandarin Chinese (as well as some English on my good days).

    Danielle Varjosalmi

    Contact Details

    Office: D2.05

    Complexity Science,
    Zeeman Building,
    University of Warwick,
    CV4 7AL