Ivan Casas Gomez-Uribarri
Student email (preferred): i.casas-gomez-uribarri.1@research.gla.systa-s.com
Staff email: ivan.casasgomez-uribarri@gla.systa-s.com
LinkedIn: linkedin.com/in/ivan-casas-gomez-uribarri
Research title: Climate effects on mosquito fitness, malaria parasite development, and their relationship: novel modelling and surveillance strategies
Research summary
I like insects. And numbers.
I'm interested in holistic approaches to the study and management of large-scale biological systems, spanning
- Interdisciplinarity: because a system is better described through more than one lens
- Adaptive Management: to avoid paralysis by analysis while maximising knowledge acquisition
- Uncertainty Analysis: because a painful truth is better than a beautiful lie
- Computational Tools: to get the most out of our imperfect impression of the system
For my PhD, I am working with malaria-transmitting mosquitoes. I'm interested in describing how different environmental factors influence their ability to maintain the transmission of the disease, as well as in developing new surveillance technologies that retrieve good-quality data.
I'm also interested in sustainable development, especially relative to food production, energy generation and urban development; but I haven't had the chance to work on this yet.
Publications
2025
Foti, Mattia, Micocci, Martina, Pazmiño-Betancourth, Mauro 
ORCID: https://orcid.org/0000-0003-4259-0611, Casas Gomez-Uribarri, Ivan, Serini, Paola, Caputo, Beniamino, della Torre, Alessandra and Baldini, Francesco ORCID: https://orcid.org/0000-0002-5904-4070
(2025)
Towards scalable age-grading of Aedes albopictus mosquito using mid-infrared spectroscopy and machine learning.
Scientific Reports, 15,
40470.
(doi: 10.1038/s41598-025-24404-x)
(PMID:41254042)
(PMCID:PMC12627515)
2024
Pazmiño-Betancourth, Mauro ORCID: https://orcid.org/0000-0003-4259-0611, Casas Gómez-Uribarri, Ivan, Mondragon-Shem, Karina, Babayan, Simon A. ORCID: https://orcid.org/0000-0002-4949-1117, Baldini, Francesco ORCID: https://orcid.org/0000-0002-5904-4070 and Haines, Lee Rafuse
(2024)
Advancing age grading techniques for Glossina morsitans morsitans, vectors of african trypanosomiasis, through mid-infrared spectroscopy and machine learning.
Biology Methods and Protocols, 9(1),
bpae058.
(doi: 10.1093/biomethods/bpae058)
(PMID:39290986)
(PMCID:PMC11407438)
Articles
Foti, Mattia, Micocci, Martina, Pazmiño-Betancourth, Mauro ORCID: https://orcid.org/0000-0003-4259-0611, Casas Gomez-Uribarri, Ivan, Serini, Paola, Caputo, Beniamino, della Torre, Alessandra and Baldini, Francesco ORCID: https://orcid.org/0000-0002-5904-4070
(2025)
Towards scalable age-grading of Aedes albopictus mosquito using mid-infrared spectroscopy and machine learning.
Scientific Reports, 15,
40470.
(doi: 10.1038/s41598-025-24404-x)
(PMID:41254042)
(PMCID:PMC12627515)
Pazmiño-Betancourth, Mauro ORCID: https://orcid.org/0000-0003-4259-0611, Casas Gómez-Uribarri, Ivan, Mondragon-Shem, Karina, Babayan, Simon A. ORCID: https://orcid.org/0000-0002-4949-1117, Baldini, Francesco ORCID: https://orcid.org/0000-0002-5904-4070 and Haines, Lee Rafuse
(2024)
Advancing age grading techniques for Glossina morsitans morsitans, vectors of african trypanosomiasis, through mid-infrared spectroscopy and machine learning.
Biology Methods and Protocols, 9(1),
bpae058.
(doi: 10.1093/biomethods/bpae058)
(PMID:39290986)
(PMCID:PMC11407438)
