Alex Gimenez

Àlex Giménez Romero
Profile

My current research focuses on developing mathematical and computational models in the context of epidemiology and ecology. In particular, I am modelling the epidemics causing the Mass Mortality Event of Pinna nobilis, and the emergent epidemics in almond trees and vineyards caused by the bacterium Xylella fastidiosa in Europe. Besides, I am developing Machine Learning models to detect and classify different seagrass and algae species from satellite images and analyzing worldwide spatial data of coral reefs.

Personal Webpage

GitHub Profile

Recent Publications

Unravelling the universal spatial properties of coral reefs

Giménez-Romero, Àlex; Matías, Manuel A.; Duarte, Carlos M.
Global Ecology and Biogeography , e13939 (1-12) (2024)

Cómo los viñedos europeos escaparon de una devastadora enfermedad… por ahora

Giménez-Romero, Àlex; Matías, Manuel A.
The Conversation, , (2024)

Theoretical and data-driven models in Ecology

Giménez-Romero, Àlex (Supervisor: Matias, Manuel A.)
PhD Thesis (2024)

La enfermedad de Pierce, una nueva amenaza para los viñedos del sur de Europa

Moralejo, Eduardo; Giménez-Romero, Àlex; Matías, Manuel A.
Phytoma España, 363, 14-16 (2024)

Linking intercontinental biogeographic events to decipher how European vineyards escaped Pierce's disease

Moralejo, Eduardo; Giménez-Romero, Àlex; Matías, Manuel A.
Proceedings of the Royal Society B 291, 20241130 (1-12) (2024)

Ongoing Research projects

CYCLE

Complex DYnamics of CoastaL Ecosystems: Resilience to Climate Change. Modelling and Simulations.

P.I.: Damià Gomila, Tomás Sintes
Complex Dynamics of Coastal Ecosystems: Resilience to Climate Change (CYCLE) is a coordinated multidisciplinary research project that brings together the efforts of experts in the fields of marine ecology and the physics ...

SEDIMENT

SEagrass DIversity in the MEditerranean basin in a global change scenario: a machine learNing approach from saTellite images

P.I.: Manuel Matías, Tomás Sintes
The main challenge of this project is to correlate the changes in the sea surface temperature (SST) in the Mediterranean basin with the spatial distribution and size of different seagrass species. We ...

MdM-IFISC-2

Maria de Maeztu 2023-2026

P.I.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Claudio Mirasso, Jose Javier Ramasco, Raúl Toral, Roberta Zambrini
After 15 years of its existence, IFISC can point to a proven track record of impactful research. The previous 2018-2022 MdM award has significantly enhanced the institute's capabilities, as demonstrated by an ...

GRAPHIB

Validació d’un model de graus-dia per predir l’aparició de les primeres nimfes de Philaenus spumarius a les Illes Balears

P.I.: Manuel Matías
This is a contract (encàrrec de gestió) with the Conselleria d'Agricultura of the Balearic Government that has as goal to develop an informatic tool to predict the time of hatching of eggs ...

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