Dr Kalliopi Mylona
Senior Lecturer in Statistics
Research interests
- Mathematics
Biography
Prior to Kalliopi Mylona’s appointment at King’s College London as a Lecturer in Statistics, she worked at Carlos III University, in Madrid, as a CONEX-Marie Curie Fellow of Statistics. Before that she was a Lecturer in Statistics within Mathematical Sciences at the University of Southampton, UK, after finishing her fellowship as a Marie Curie Postdoctoral Fellow in the Faculty of Applied Economics at the University of Antwerp, Belgium.
She holds a Master of Science degree in Applied Mathematical and Physical Sciences from the National Technical University of Athens in Greece, and obtained a PhD in Statistics from the same university in 2009. After her PhD, she taught postgraduate and undergraduate courses at the University of Piraeus, the Athens University of Economic and Business, and the National Technical University of Athens.
Research Interests
Her main research areas are the design of factorial experiments and the analysis of experimental data, both the development of new statistical methodology and its application to real scientific problems. For example, she collaborates with the First Propedeutic Surgical Clinic at the Hippocratio Hospital in Greece and the Hellenic Trauma Society on Biostatistics problems. Other motivating applications include meta-analysis of clinical trials, materials and surface engineering, agricultural field experiments, and biological and chemical experiments.
Further Information
Research
Centre for Urban Science and Progress (CUSP) London
Supporting interdisciplinary research and innovation in and for London
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.
News
King's Women in Maths
Meet our mathematicians
King's women in maths: Kalliopi Mylona
Kalliopi Mylona interview
Features
Designing experiments with Maths saves money and time
Mathematical modeling can play a key role in cutting time and budgets when it comes to designing experiments for trialing new pharmaceutical products and...
Research
Centre for Urban Science and Progress (CUSP) London
Supporting interdisciplinary research and innovation in and for London
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.
News
King's Women in Maths
Meet our mathematicians
King's women in maths: Kalliopi Mylona
Kalliopi Mylona interview
Features
Designing experiments with Maths saves money and time
Mathematical modeling can play a key role in cutting time and budgets when it comes to designing experiments for trialing new pharmaceutical products and...