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, currently a PhD student and researcher at IFISC, in Palma de Mallorca, Spain. My research focuses on applying complex systems physics to social and urban issues, including housing market dynamics, urban segregation, and collective behavior. My work includes studying human activity patterns and emergent urban structures, via data driven tools, network science and statistical physics.
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, SpainPredoctoral Researcher
IFISC - CSIC (APASOS - NouLloguer projects)Reseacher
SOIB Grant Young TalentPredoctoral researcher
IFISC - CSIC (PACSS project)Dissemination for general audience
Pint of Science 2024Poster Party Organizing Comitee
IFISCCollaborator in CSS - Palma 2022
Complex Systems SocietyPublished Papers
Housing market segmentation
Uncovering of housing market spatial segmentation from online listings via network analysis techniques.
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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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Consensus problem
We address the problem of consensus in a model where two symmetrical states spread via complex contagion (threshold rule). Consensus dynamics are dramatically affected by aging effects.
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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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