Dr Georgios Aivaliotis

Dr Georgios Aivaliotis


Research Group in Probability, Stochastic Modelling and Financial Mathematics

Research interests

My research interests evolve around probability, statistics, stochastic processes and machine learning. Applications of my research can be found in the broad area of financial and actuarial mathematics, data analytics, survival analysis as well as financial technologies.

I have worked in the area of stochastic control for mean-variance type problems and applications in portfolio selection and agent remuneration. Currently, I am applying ideas from probability and statistics into the field of Data Analytics, in particular I am working on robust temporal pattern mining from data that are time stamped. This is part of the EPSRC funded project QuantiCode in which I am a Co-Investigator.

I am an Alan Turing Fellow and co-Investigator on the Alan Turing Project "Modelling the joint effects of temporal, heterogeneous datasets".

Throughout my career, I have kept close links with several industrial partners and government organisations that I have had projects with (CallCredit, Leeds City Council, Jet2 and others). I am an associate member of the Leeds Institute for Data Analytics (LIDA). 

<h4>Research projects</h4> <p>Any research projects I'm currently working on will be listed below. Our list of all <a href="https://eps.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>


  • PhD in Statistics, University of Leeds
  • MSc in Financial Mathematics, Herriot-Watt University and The University of Edinburgh
  • BSc in Statistics, Athens University of Economics and Business

Student education

I led the development of the BSc Actuarial Mathematics (and the exemption recognition process) for a number of years and assisted in running the MSc Financial Mathematics. I am currently contributing to the development of the new MSc in Financial Technologies.

I have taught a variety of Financial and Actuarial modules both in UG and PG level.

Research groups and institutes

  • Statistics
  • Probability and Financial Mathematics

Current postgraduate researchers

<h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>
    <li><a href="//phd.leeds.ac.uk/project/1400-bayesian-tree-based-models-and-applications-">Bayesian tree based models and applications </a></li> <li><a href="//phd.leeds.ac.uk/project/638-multivariate-peaks-over-threshold-(pot)-modelling-of-nonstationary-air-pollution-concentration-data">Multivariate Peaks-Over-Threshold (POT) Modelling of Nonstationary Air Pollution Concentration Data</a></li> <li><a href="//phd.leeds.ac.uk/project/727-statistical-modelling-vs.-machine-learning-in-prediction-of-extremes">Statistical Modelling vs. Machine Learning in Prediction of Extremes</a></li>