Resume
Summary
Pavlos Kolias
Mathematician, statistician, lecturer, researcher, and statistical consultant with experience in higher education, applied data analysis, research methodology, and advanced statistical modelling. Skilled in Frequentist and Bayesian statistics, stochastic processes, machine learning, simulation methods, psychometrics, and research design. Experienced in teaching undergraduate and postgraduate students, supervising dissertations, and providing statistical consulting for academic, healthcare, finance, technology, psychology, and business-related projects.
Education
PhD in Mathematics
2019 – 2025
Aristotle University of Thessaloniki, Greece
Section of Statistics and Operational Research, Department of Mathematics Dissertation title: On the theory of high-order non-homogeneous semi-Markov systems.
MSc in Statistics and Modelling
2017 - 2019
Aristotle University of Thessaloniki, Greece
Graduated 1st in class. Thesis title: Investigating some attributes of periodicity in DNA sequences via semi-Markov modelling.
BSc in Mathematics
2011 - 2017
Aristotle University of Thessaloniki, Greece
Erasmus Exchange Student at Sorbonne Université, Paris, France, in 2014.
Professional Experience
Founder and Statistical Consultant
2021 - Present
The Math.Lab Project, Thessaloniki, Greece
- Provide statistical consulting services to researchers professionals organisations and companies.
- Support projects in healthcare finance technology psychology education business and applied research.
- Design quantitative studies and advise on research questions hypotheses sampling measurement and analysis plans.
- Conduct sample size calculations power analysis statistical modelling simulation studies machine learning and statistical inference.
- Apply both Frequentist and Bayesian methods depending on the research problem and data structure.
- Prepare clear reports tables figures and interpretations for journal articles business reports and professional presentations.
Lecturer in Mathematics, Statistics and Research Methods
2022 - Present
University of York Europe Campus
- Teach undergraduate and postgraduate modules across Psychology Computer Science and Business Administration and Economics. Core teaching areas include Mathematical Foundations Data Analysis: Statistics and Probabilities Data Science Machine Learning and Research Methods. Supervise undergraduate and postgraduate dissertations.
- Support students in quantitative research design statistical analysis interpretation of results and academic reporting.
Academic Scholar
November 2022 – September 2023
Department of Statistics and Insurance Science, University of Western Macedonia
- Taught the undergraduate course Operational Research.
Senior Researcher – R-MAP Project
2025
Mapping, understanding, assessing and predicting the effects of remote working arrangements in urban and rural areas
- Senior Researcher in WP2 - Horizon Europe research and innovation programme Grant Agreement No. 101132497.
- Contributed to the design of a typology of EU regions based on the effects of remote working on the urban-rural divide.