David Abella
Physicist. Researcher.
Eager to explore the complex mechanisms driving our society. My passion lies in understanding advanced analytics to uncover hidden patterns that can shape innovative solutions for urban planning and social policy.
Contact MeAbout Me
I am David Abella Bujalance, PhD in Physics of Complex Systems (IFISC, 2024) and researcher in Computational Social Science at Eurecat, Centre Tecnològic de Catalunya. My research applies complex systems physics to social and urban challenges — housing market dynamics, urban segregation, collective behavior, and mobility. I combine data-driven tools, network science, and statistical physics to uncover hidden structures in socioeconomic systems. My PhD thesis, awarded by the UIB Chair of Urban Studies, examined how memory and aging effects shape large-scale dynamics such as residential segregation and real estate markets.
Skills
Languages
ENGLISH
CATALÀ
CASTELLANO
DEUTSCH
Programming resources
Geolocalized data | GeoPandas
Dataset treatment | Pandas - SQL
Parallel computing
Artificial Inteligence | TensorFlow - Keras
Coding Languages
PYTHON
FORTRAN
JULIA
HTML
Tools
Linux | Windows
Git | GitHub
Inkscape
MS Office | Zoom | Matrix
Professional Career
Physics of Complex Systems
IFISC, SpainResearch Stay
School of Mathematical Sciences, QMUL, UKPhysics of Complex Systems
Universitat de les Illes Balears, SpainPhysics. Minor in Fundamental Physics.
Universitat de Barcelona, SpainResearcher in Computational Social Science
Eurecat, Centre Tecnològic de CatalunyaPredoctoral Researcher
IFISC - CSIC (APASOS - NouLloguer projects)Reseacher
SOIB Grant Young TalentPredoctoral researcher
IFISC - CSIC (PACSS project)UIB Chair of Urban Studies Award
Best doctoral thesis on urban dynamics (€1,500)Dissemination for general audience
Pint of Science 2024Poster Party Organizing Committee
IFISCCollaborator in CSS - Palma 2022
Complex Systems SocietyPublished Papers
Housing market segmentation
Exploring the spatial segmentation of housing markets from online listings. Published in EPJ Data Science (2025).
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Ordering dynamics and aging
Aging effects dramatically alter consensus dynamics in the Symmetrical Threshold Model. Published in New Journal of Physics (2024).
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Segregation modeling
Non-Markovian Schelling segregation model analysis under the effects of social inertia or aging.
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Non-Markovian binary-state dynamics
Study of non-Markovian effects in binary-state dynamics in complex networks via an analytical framework based on the Approximate Master Equation
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Water Many-body Interactions
Measuring the impact of many-body interactions in water nano-clusters and the contributions of the different coordination shells.
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