Flavio Palmieri
Bio
Hi there. My name is Flavio Palmieri and I’m an Assistant Professor within the Serra Hùnter program at the Universitat Politècnica de Catalunya (Polytechnic University of Catalonia, UPC), campus Barcelona School of Engineering Est - EEBE.
From Student to Scientist: A Journey in Biomedical Engineering
I hold a B.Sc. (2015) and M.Sc. (2018) in Biomedical Engineering from the Università Politecnica delle Marche (Ancona, Italy). In June 2022, I completed an industrial Ph.D. in Biomedical Engineering through a joint program between Universitat Politècnica de Catalunya and the University of Zaragoza, under the supervision of Professor Pablo Laguna and Professor Pedro Gomis.
From June 2022 to December 2023, I was a postdoctoral researcher in bioinformatic at Institut de Recerca Sant Joan de Déu (IRSJD) in the Metabolic diseases of pediatric origin gorup, supported by a fellowship from the John Templeton Foundation.
In January 2024, I was awarded a “Juan de la Cierva” postdoctoral fellowship from the Spanish Ministry of Science, Innovation and Universities. I held this position at the University of Barcelona, Department of Physiological Sciences, Biophysics Unit until I was appointed assistant professor at the Universitat Politècnica de Catalunya (UPC)
Currently, I am a member of the B2SLab, part of the Institut de Recerca i Innovació en Salut (IRIS), formerly known as the Research Center for Biomedical Engineering (CREB).
Research interests
I’m passionate about using computational tools to better understand how our bodies work at the cellular and molecular level—especially in the context of metabolic diseases and childhood health. With a background in biomedical engineering, my work bridges biology, data science, and medicine.
Over the years, I’ve been particularly drawn to spatial transcriptomics and cell type analysis, which help us see how different cells behave and interact in tissues. I enjoy exploring big biological datasets to uncover patterns that might tell us something new about health, disease, or development.
Whether it’s through bioinformatics, machine learning, or systems biology, my goal is to turn complex data into meaningful insights that could one day support better diagnosis, research, or treatment.
External collaborators
- Professor José Carlos Jiménez Chillarón
- Dr Elena Arbelo
- Professor Pablo M Garcia-Roves
- Dr Carles Lerin Martinez
- Professor Pablo Laguna
- Professor Pedro Gomis
- Dr Eduard Porta
- Professor Anthony Molina
Teaching
I teach several subjects, including:
- Bioinformatics.
- Health information and comunication systems.
- Control and automation.
Ongoing PhD Thesis
Publications
All my publications are available through:
What follows is a possibly messy and not-quite-complete list of my publications. I’m working on it!
Links
2024
1. Machine learning allows robust classification of visceral fat in women with obesity using common laboratory metrics
Palmieri, F. and Farooq , N. and Pan’e, A. and Jim’enez, A. and Olbeyra, R. and Viaplana, J. and Hollanda, A. de and Gama, P. and Jim’enez, J. and Garc’ia, P.
Scientific reports, Vol. 14, Issue 1, article 17263 (2024)
[DOI]
2022
2. Estimation of potassium levels in hemodialysis patients by T wave nonlinear dynamics and morphology markers
Bukhari, H. and S’anchez, C. and Srinivasan, S. and Palmieri, F. and Potse, M. and Laguna, P. and Pueyo Paules, Esther
Computers in biology and medicine, Vol. 143, Issue (2022)
[DOI]
3. Weighted time warping improves T-wave morphology markers clinical significance
Palmieri, F. and Gomis, P. and Ferreira, D. and Pueyo, E. and Mart’inez, J. and Laguna, P. and Ram’irez, J.
IEEE transactions on bio-medical engineering, Vol. 69, Issue 9 (2022)
[DOI]
2021
4. ECG-based monitoring of blood potassium concentration: Periodic versus principal component as lead transformation for biomarker robustness
Palmieri, F. and Gomis, P. and Ruiz, J. and Ferreira, D. and Mart’in-Yebra, A. and Pueyo Paules, Esther and Mart’inez Cort’es, Juan Pablo and Ram’irez, J. and Laguna, P.
Biomedical signal processing and control, Vol. 68, Issue (2021)
[DOI]
5. Nonlinear T-wave time warping-based sensing model for non-invasive personalised blood potassium monitoring in hemodialysis patients: a pilot study
Palmieri, F. and Gomis, P. and Ruiz, J. and Ferreira, D. and Mart’in-Yebra, A. and Pueyo, E. and Mart’inez, J. and Ram’irez, J. and Laguna, P.
Sensors (Basel), Vol. 21, Issue 8 (2021)
[DOI]
6. Monitoring blood potassium concentration in hemodialysis patients by quantifying T-wave morphology dynamics
Palmieri, F. and Gomis, P. and Ferreira, D. and Ruiz, J. and Bergasa, B. and Mart’in-Yebra, A. and Bukhari, H. and Pueyo Paules, Esther and M’artinez, J. and Ram’irez, J. and Laguna, P.
Scientific reports, Vol. 11, Issue 1 (2021)
[DOI]
2020
7. Characterization of T wave amplitude, duration and morphology changes during hemodialysis: relationship with serum electrolyte levels and heart rater
Bukhari, H. and Palmieri, F. and Ram’irez, J. and Laguna, P. and Ruiz, J. and Ferreira, D. and Potse, M. and S’anchez, C. and Pueyo, E.
IEEE transactions on biomedical engineering, Vol. 68, Issue 8 (2020)
[DOI]