Mr. Arnobio Palacios Gutiérrez | Data analysis and climatology | Best Researcher Award
Complutense University of Madrid | Spain
Publication Profile
Orcid
📘 Education & Experience
Arnobio Palacios Gutiérrez is a dedicated academic and researcher with a strong interdisciplinary background in mathematics, physics, and statistics. He earned his Bachelor’s degree in Mathematics and Physics from the Technological University of Chocó (Colombia), followed by a Master’s degree in Engineering Data Analysis, Process Improvement, and Decision-Making from the Polytechnic University of Valencia (Spain). Currently, he is pursuing a PhD in Data Analysis at the Complutense University of Madrid, focusing on climate change pattern recognition through time series clustering. With over a decade of professional experience, Arnobio has served as a university professor and researcher at UTCH, contributing significantly to curriculum design, institutional planning, and data-driven development initiatives.
✅ Suitability Summary
Arnobio combines academic rigor with practical field experience, making him highly suitable for roles in data science, research, and public policy innovation. His ability to model complex problems, analyze multidimensional data, and generate decision-support frameworks positions him as a valuable asset in both academic and applied research contexts. His teaching portfolio includes courses in calculus, differential equations, physics, and advanced statistics, complemented by experience in strategic planning, consulting, and public innovation at the national level in Colombia. He is a collaborative leader who thrives in multidisciplinary environments and maintains a strong commitment to social impact and educational excellence.
🎓 Professional Development
Throughout his career, Arnobio has pursued continuous professional growth. He was awarded the prestigious Young Researcher Fellowship by the Colombian Ministry of Science and actively engages in national development projects. His technical proficiency includes R programming, database management, statistical analysis, and scientific writing. As a consultant and planner, he has developed strategic indicators and improvement plans for institutions and contributed to the design of public innovation strategies. His leadership in academia and his ability to manage complex projects reflect his organizational and analytical strengths.
🔬 Research Focus
Arnobio’s research centers on the development of new methodologies for identifying climate change patterns using time series clustering with dimensionality reduction techniques. His doctoral work aims to enhance understanding of environmental change through data science, while his Master’s thesis applied multivariate analysis to explore socio-demographic and development indicators across more than a thousand Colombian municipalities. His interests extend to public sector innovation, production systems management, and biodiversity valuation—areas where he integrates statistical modeling with sustainable development goals.
🏆 Honors & Awards
Among Arnobio’s recognitions is the Young Researcher Award from the Colombian Ministry of Science, highlighting his early promise in scientific investigation. He has also been honored as a Multiplier Leader by Future Colombia for his active role in social initiatives and cultural heritage projects. His leadership in regional innovation, environmental analysis, and educational advancement continues to shape policy and academic discussions both in Colombia and internationally.
📚 Top Notes Publication
Title: Quantifying Impact of Geographical Variables on Climate Change Patterns over Spain by Time Series Clustering
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Authors: Arnobio Palacios-Gutiérrez; Jose Luis Valencia-Delfa; María Villeta
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Journal: Earth Systems and Environment
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Year: 2025
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Title: Identification of extreme temperature and precipitation patterns in Spain based on multiscale analysis of time series
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Authors: Arnobio Palacios-Gutiérrez; Jose Luis Valencia-Delfa; María Villeta
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Journal: Natural Hazards
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Year: 2025
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Title: Time series clustering using trend, seasonal and autoregressive components to identify maximum temperature patterns in the Iberian Peninsula
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Authors: Arnobio Palacios Gutiérrez; Jose Luis Valencia Delfa; María Villeta López
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Journal: Environmental and Ecological Statistics
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Year: 2023
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Title: Identification of precipitation and maximum temperature patterns in Spain during 1951 to 2021 using clustering based on multiscale analysis of time series
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Authors: Arnobio Palacios Gutiérrez; Jose Luis Valencia Delfa
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Journal: Preprint (EGU General Assembly)
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Year: 2023
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Title: Time Series Clustering using Trend, Seasonal and Autoregressive Components: Patterns of Change of Maximum Temperature in Iberian Peninsula
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Authors: Arnobio Palacios Gutiérrez; Jose Luis Valencia Delfa
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Journal: Publications of the Institute of Geophysics, Polish Academy of Sciences; Geophysical Data Bases, Processing and Instrumentation
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Year: 2022
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