Natàlia Pallarès

I graduated in Mathematics from the Universitat Politècnica de Catalunya in 2012 and obtained an MSc in Statistics and Operations Research (MESIO, UPC–UB) in 2014. I worked at the Hospital del Mar Research Institute as a Biostatistician in the Clinical and Molecular Epidemiology of Cancer Unit (2015–2017).

Since 2017, I have been working as a Senior Biostatistician in several research institutes, including the Bellvitge Biomedical Research Institute (IDIBELL) (2017–2023), the Germans Trias i Pujol Research Institute (IGTP) (2023–2026), and the Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS).

In parallel, in 2025 I obtained a PhD in Medicine and Translational Research from the University of Barcelona under the supervision of Cristian Tebé (IGTP–UPC). My thesis was entitled “Statistical techniques to analyse the impact of ceiling of care in COVID-19 hospitalised patients.”

Since 2015, I have also been an associate professor at the Autonomous University of Barcelona (2015–2017) and at the University of Barcelona (2018–present), teaching statistics courses in bachelor's and master's degree programs in the health sciences. Additionally, I have been involved in courses on REDCap, R, biostatistics, and clinical research for investigators at the Bellvitge and Can Ruti campuses.

I have co-authored more than 50 publications in scientific journals.

Education

• PhD in Medicine and Translational Research, Universitat de Barcelona (2025)
• MSc in Statistics and Operations Research, Universitat Politècnica de Catalunya-Universitat de Barcelona (2014)
• BSc in Mathematics, Universitat Politècnica de Catalunya (2012)

Research areas

• Applying data analysis methods in clinical research
• Developing predictive models for healthcare outcomes
• Conducting and analyzing cohort studies
• Using matching techniques to control for confounding in observational studies

Teaching

• Bachelor's degree in Food Science and Technology: Public Health and Nutritional Epidemiology
• Bachelor's degree in Medicine: General Biostatistics, Epidemiology and Introduction to Research
• Bachelor's degree in Biomedical Sciences: Experimental Design and Data Analysis
• Master’s degree in Applied Clinical Research: Applied Biostatistics

Publication links

• ORCID
• ResearchGate