Staff profile

I am an Associate Professor in Statistics at the Department of Mathematical Sciences at Durham University in UK. 

I have worked as a postdoctoral researcher in the Department of Mathematics of the Purdue University, and as a postdoctoral researcher in the Uncertainty Quantification group in the Pacific Northwest National Laboratory in USA. 

I hold a PhD degree in Mathematics (Statistics) from the School of Mathematics at the University of Bristol, and a BSc degree in Statistics from the Department of Statistics at the Athens University of Economical and Business studies. 

I am a Bayesian statistician with particular research interests in the development of methods for (i.) statistical modelling to address Bayesian computer model calibration and uncertainty quantification (UQ) problems; (ii.) statistical computing to facilitate inference in complex statistical models; and (iii.) machine learning. 

A number of my recent research projects/developments address modern statistical challenges such as `Big Data' and High-Dimensional problems one can meet in real applications, while they can be implemented in parallel computing environments.

I am teaching "MATH4341: Spatio-Temporal Statistics IV" and "MATH3431: Machine Learning and Neural Networks III".

Publications: https://www.maths.dur.ac.uk/~mffk55/publications.html

Some areas: https://www.maths.dur.ac.uk/~mffk55/research.html

Teaching: https://www.maths.dur.ac.uk/~mffk55/teaching.html

• Bayesian statistics
• Machine learning, and Big-data analysis
• Computational statistics, and Markov chain Monte Carlo
• Uncertainty Quantification

• 2020: IEEE, International Conference on Tools with Artificial Intelligence (ICTAI): Financial Chair (Organ.), Registration Chair, Program Area Chair