Jordi Sevilla Fortuny
Biologist studying a Master's in bioinformatics
Biologist studying a Master's in bioinformatics
I am Jordi Sevilla Fortuny, a biologist studying a Master's in Bioinformatics at the Universitat de València (Spain). My research spans genomic epidemiology of Klebsiella pneumoniae, antimicrobial resistance genomic prediction using machine learning and within-host evolution in SARS-CoV-2. Currently contributing to the EpiMol group through a Spanish government fellowship. I bring expertise in Python, R, and Bash for computational analyses.
MS in Bioinformatics
Institution: Universitat de València (Spain)
Period: 09/2023 - 05/2025
Remarks: Master's thesis on developing a pipeline for refining pangenomes for robust phylogenetic analyses in Klebsiella pneumoniae. (Work in progress)
Degree in biology (8.67/10)
Institution: Universitat de València (Spain)
Period: 09/2019 - 06/2023
Remarks: My final thesis focuses on employing machine learning for genomic prediction of antimicrobial resistance in Klebsiella pneumoniae and elucidating the underlying mechanisms. (grade: 9.7/10)
Granted intern
Institution: Joint Research Unit Infection and Public Health FISABIO-University of Valencia, Valencia, Spain. (PI: Fernando González Candelas)
Period: 10/2023 - 05/2025
Description: Extension of my bachelor’s thesis project: Development of enhanced machine learning methods for improved prediction and understanding of fosfomycin, amikacin, and pip/taz resistance in Klebsiella pneumoniae through genomic data.
Granted intern
Institution: Institute for Integrative Systems Biology (I2SysBio, University of Valencia - CSIC), FISABIO Joint Research Unit “Infection and Public Health”, Paterna, Spain. (PI: Mireia Coscollá Devis)
Period: 03/2023 - 09/2023
Description: Exploring within-host evolution in chronic SARS-CoV-2 infections through advanced analyses. Additionally, developing bioinformatic tools for precise detection and characterization of prolonged viral states (VIPERA).
Curricular internship
Institution: Joint Research Unit Infection and Public Health FISABIO-University of Valencia, Valencia, Spain. (PI: Fernando González Candelas)
Period: 10/2022 - 07/2023
Description: Temporal Evolution of Antimicrobial Resistance: Insights from a Decade-Long Surveillance of Klebsiella pneumoniae infections in the Comunitat Valenciana (Spain)
Colaborator student
Institution: Joint Research Unit Infection and Public Health FISABIO-University of Valencia, Valencia, Spain. (PI: Fernando González Candelas)
Period: 09/2020 - 09/2022
Description: During my tenure as a collaborating student in the Genetics Department at the Universitat de València, I assisted Dr. Neris García González in the final stages of her doctoral thesis, titled 'Genomic Epidemiology and Antimicrobial Resistance of Klebsiella pneumoniae in the Comunitat Valenciana.'
Introduction to artificial inteligence with python | CS50 (Harvard) | 11-2023
Introduction to Programming with Python | CS50 (Harvard) | 07-2024
Bioinformatics for Biologists | Wellcome Connecting Science Learning and Training | 10-2023
Antimicrobial databases and genotype prediction: Data sharing and analysis | Wellcome Connecting Science Learning and Training | 10-2024
IELTS academic - band 7.5 | IELTS international | 09-2024
Collaboration Fellowship | Spanish goberment | 10-2023
JAE INTRO grant | Spanish National Research Council (CSIC) | 03-2023
"Tracking intra host evolution of SARS-CoV-2" (poster) | ViBioM | 2023 | Best scientific poster award
“VIPERA: A robust pipeline for studying serially sampled SARS-CoV-2 infections" (poster) | MEEGID | 2023
"Temporal dynamics of antimicrobial resistance in Klebsiella pneumoniae in the Valencian community (2010-2022)" (poster) | SEIMC | 2024
"Overexpression of ABA receptor PYL1 enhances drought tolerance in Nicotiana benthamiana through agonist combinations" (poster) | IBC | 2024
"Improving core genome gene alignments for large-scale evolutionary and transmission studies of bacteria" (poster) | SEBiBC | 2024
"Automated assessment of SARS-CoV-2 intra-patient datasets with VIPERA" (poster) | SEBiBC | 2024
"Improving genomic prediction of AMR in K. pneumoniae using machine learning" (poster) | SEBiBC | 2024
Improving genomic prediction of AMR in K. pneumoniae using machine learning" (poster) | KLEBS24 | 2024
García-González N, Beamud B, Fuster B, Giner S, Domínguez MV, Sánchez A, Sevilla J, Coque TM, Gimeno C, González-Candelas F; Networked Laboratory for Antimicrobial Resistance Surveillance of Comunitat Valenciana (Spain). Tracking the Emergence and Dissemination of a blaNDM-23 Gene in a Multidrug Resistance Plasmid of Klebsiella pneumoniae. Microbiol Spectr. 2023 Feb 1:e0258522. doi: 10.1128/spectrum.02585-22. Epub ahead of print. PMID: 36722967.
Miguel Álvarez-Herrera & Jordi Sevilla, Paula Ruiz-Rodriguez, Andrea Vergara, Jordi Vila, Pablo Cano-Jiménez, Fernando González-Candelas, Iñaki Comas, Mireia Coscollá, VIPERA: Viral Intra-Patient Evolution Reporting and Analysis, Virus Evolution, Volume 10, Issue 1, 2024, veae018, https://doi.org/10.1093/ve/veae018.
Jordi Sevilla Fortuny, Pilar Ausina Aguilar, Maria Elena Vidal et al. Temporal evolution of antimicrobial resistance: insights from a decade-long surveillance of Klebsiella pneumoniae infections in the Comunitat Valenciana (Spain), 28 March 2024, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-4145011/v1].
García-González, N., Beamud, B., Sevilla-Fortuny, J. et al. Genomic surveillance reveals different transmission patterns between third-generation cephalosporin and carbapenem resistance in Klebsiella pneumoniae in the Comunidad Valenciana (Spain), 2018–2020. Antimicrob Resist Infect Control 14, 44 (2025). https://doi.org/10.1186/s13756-025-01553-2
Improved prediction of antimicrobial resistance in Klebsiella pneumoniae using machine learning (preprint)
Jordi Sevilla-Fortuny, Fernando González-Candelasa,, Neris García-González, Improved prediction of antimicrobial resistance in Klebsiella pneumoniae using machine learning. Available at biorxiv: https://www.biorxiv.org/content/10.1101/2024.12.10.627815v1