Dr Stella Hadjiantoni

School of Mathematics, Statistics and Actuarial Science (SMSAS)
Dr Stella Hadjiantoni



I am a Lecturer in Data Science and Statistics at the Department of Mathematical Sciences of the University of Essex. I received a BSc in Mathematics and Statistics and an MSc in Finance from the University of Cyprus. I obtained my PhD from Queen Mary, University of London. Prior to joining the University of Essex, I worked as a Lecturer at the University of Kent and a Guest Teacher at the London School of Economics. I also worked as a Research Associate at the University of Oviedo, Spain. My research expertise lies in the area of statistical computing. I am interested in investigating new methods for computationally intensive problems in statistics and data science using numerical linear algebra. More specifically, my main research interests include: 1. The development of numerical algorithms for handling high-dimensional data sets. 2. Regression, regularisation and dimensionality reduction machine learning algorithms. 3. The estimation of large-scale multivariate models for the analysis of functional and time-series data.


  • PhD Queen Mary, University of London,

  • MSc Finance University of Cyprus,

  • BSc Mathematics and Statistics University of Cyprus,


University of Essex

  • Lecturer in Data Science and Statistics, Department of Mathematical Sciences, University of Essex (1/9/2019 - present)

Other academic

  • Lecturer in Statistics, University of Kent (1/9/2016 - 30/8/2019)

  • Guest Teacher in Statistics, London School of Economics and Political Science (1/9/2015 - 30/6/2019)

  • Research Associate, University of Oviedo (1/1/2016 - 31/12/2016)

  • Teaching Fellow, Queen Mary, University of London (1/9/2015 - 31/8/2016)

Research and professional activities

Research interests

Estimation of large-scale multivariate linear models and applications

Open to supervise

Numerical methods for the development of recursive regularisation and machine learning algorithms

Open to supervise

Numerical linear algebra in statistical computing and data science

Open to supervise

Numerical methods for handling high-dimensional data sets

Open to supervise

Teaching and supervision

Current teaching responsibilities

  • Modelling experimental and observational data (MA335)


Journal articles (4)

Hadjiantoni, S. and Loizou, G., (2023). Numerical strategies for recursive least squares solutions to the matrix equation AX = B. International Journal of Computer Mathematics. 100 (3), 1-14

Hadjiantoni, S. and Kontoghiorghes, EJ., (2022). An alternative numerical method for estimating large-scale time-varying parameter seemingly unrelated regressions models. Econometrics and Statistics. 21, 1-18

Hadjiantoni, S. and Kontoghiorghes, EJ., (2018). A recursive three-stage least squares method for large-scale systems of simultaneous equations. Linear Algebra and Its Applications. 536, 210-227

Hadjiantoni, S. and Kontoghiorghes, EJ., (2017). Estimating large-scale general linear and seemingly unrelated regressions models after deleting observations. Statistics and Computing. 27 (2), 349-361

Conferences (1)

Hadjiantoni, S. and Kontoghiorghes, EJ., Re-estimation of large-scale linear models after adding and deleting observations

Grants and funding


Strike KTP Application

Innovate UK (formerly Technology Strategy Board)

Advent Insurance Management Limited KTP Application

Innovate UK (formerly Technology Strategy Board)

+44 (0) 1206 874732


2.521, Colchester Campus