Ph.D. Management | MSci Mathematics & Physics | MSc Data Science & AI (ongoing)

I am a researcher working across sustainability, consumer behaviour, behavioural economics and data science. My academic path began in mathematics and physics, where I worked on general relativity and optical simulation of curved spaces, and later moved into management research on consumer perception and behaviour in the transition towards the circular economy.

My current interests centre on how sustainable behaviour is conceptualised, measured and observed. This includes the intention–behaviour gap, stated sustainability preferences, behavioural types in social dilemmas, common-pool resource settings, and the external validity of experimental and survey-based measures. I am also developing reproducible data science workflows that support empirical research on sustainability, wellbeing and resource use.

This page collects selected research, data-analysis projects, publications, academic activity and creative work.

Programming, data analysis and databases

Research and modelling

Workflow and creative tools

Research areas

• Sustainable consumption and circular economy transitions.
• Consumer perception, decision-making and behaviour.
• Behavioural and experimental economics.
• Social dilemmas and common-pool resource settings.
• Stated preferences, intentions and observed behaviour.
• Wellbeing, inequality and sustainable resource use.
• Experimental and survey-based measurement of sustainability-related behaviour.

Methodological background

• Experimental design and laboratory implementation.
• Survey design, psychometric measurement and scale development.
• Structural equation modelling and mixed-effects modelling.
• Relational database design, SQL querying and data-quality checks.
• Data cleaning, feature engineering and exploratory analysis.
• Theoretical modelling and quantitative reasoning.
• Reproducible Python, R and SQL workflows.

• Ph.D. in Management — University of Sheffield, 2024
  Thesis: The role of consumer perception and behaviour in the transition towards the circular economy

• Master in Data Science, Big Data & AI — Evolve, Spain (ongoing)
  Focus: programming, Python, SQL, applied data analysis and AI

• MSci Mathematics & Physics — University of Glasgow, 2018
  Master thesis: Optical simulation of curved spaces
  Honours dissertation: General Relativity

My current research extends my doctoral work on sustainable consumer behaviour toward behavioural and experimental economics. I am particularly interested in whether stated sustainability preferences can meaningfully predict observed behaviour in laboratory settings, especially when sustainability is modelled as a social dilemma or common-pool resource problem.

This work connects consumer behaviour research, which often relies on self-reported attitudes and intentions, with experimental approaches that observe behaviour under controlled incentives. The broader aim is to understand what different measurement approaches can and cannot tell us about sustainable behaviour.

• Stated sustainability preferences and behavioural types in the Armageddon game — job market paper
• Other-Regarding Higher Order Risk Preferences — with A. Drichoutis and A. Vasilopoulos
• Consumption in the Circular Economy: Learning from Our Mistakes — Sustainability (2021) — DOI:10.3390/su13020601
• Urban Mining of e-Waste and the Role of Consumers — in Waste Material Recycling in the Circular Economy (2021) — DOI:10.5772/intechopen.100363
• Optical triangulations of curved spaces — Optica (2020) — DOI:10.1364/OPTICA.378357

• Lab Assistant, 2nd Summer School on Experimental and Behavioural Economics, Crete, 2025
• Co-supervision of a Master's thesis at UPC on virtual reality as a tool for experimental economics
• Behavioural experiment on risk preferences at the Agricultural University of Athens
• Peer review for PLOS ONE, Journal of Behavioural and Experimental Economics, Frontiers in Sustainability: Circular Economy, and Cleaner and Responsible Consumption

A portfolio-style MySQL project modelling a Spotify track dataset as a relational database and using SQL EDA to examine track, artist, album, genre and audio-profile positioning.

What it demonstrates: relational schema design, dimensional modelling, raw-data import, data-quality checks, audit tables, bridge tables, SQL views, analytical querying and project documentation.

Tools: MySQL, MySQL Workbench, SQL, Python, Git/GitHub.

A reproducible Python project exploring whether countries can achieve high subjective wellbeing with lower environmental and material pressure.

What it demonstrates: dataset construction, country-year panel harmonisation, data cleaning, feature engineering, exploratory analysis, modular Python code and reproducible notebooks.

Tools: Python, pandas, NumPy, Matplotlib, Jupyter, Git/GitHub.

Music has been a long-standing part of my work and identity. I have experience in production, performance, recording, live sound, event organisation and independent releases.

• Patari Records —

• UVVUTV —

• Primo Bake —

"I am enough of the artist to draw freely upon my imagination. [...] Knowledge is limited. Imagination encircles the world."

Albert Einstein, The Saturday Evening Post, 26 Oct. 1929