Patricia Gonzalez Dias Carvalho
Post-Doctoral Research Associate In Computational Biology
Patricia holds a Master’s Degree in Cellular and Molecular Biology from Instituto Oswaldo Cruz (Fiocruz, Brazil) followed by PhD in Physiopathology and Toxicology at the University of Sao Paulo.
In her master’s degree she studied the immune response induced by different adjuvants and its application in the development of subunit vaccines in the pre-clinical phase. While in her PhD she started to work as a Computational Biologist. She has been working since then on integrative analyses of immunomic, transcriptomic and reactogenic data using systems biology and machine learning approaches to decipher the immune and molecular signatures of the human response elicited by different vaccines and infections.
She joined OVG in 2022 and has been working mainly with respiratory infections disease using data from Experimental Human Challenge Platform. Her main focus at the moment is to identify immune correlates of protection to Pneumococcal infection.
Recent publications
The effect of pneumococcal conjugate vaccine and pneumococcal polysaccharide vaccine on nasopharyngeal colonisation following human infection challenge with serotype 3 and serotype 6B (PREVENTING PNEUMO 2): a double-masked, randomised, controlled, phase 4 trial.
Journal article
Liatsikos K. et al, (2026), Lancet Microbe
Machine learning-driven identification of serotype-independent pneumococcal vaccine candidates using samples from human infection challenge studies.
Journal article
Cheliotis KS. et al, (2026), Vaccine, 75
Machine learning-driven identification of serotype-independent pneumococcal vaccine candidates using samples from human infection challenge studies
Preprint
Cheliotis KS. et al, (2025)
Machine Learning-Driven Identification of Serotype-Independent Pneumococcal Vaccine Candidates using samples from Human Infection Challenge Studies
Preprint
Cheliotis KS. et al, (2025)
High Respiratory Syncytial Virus Burden in Children Under 3 Years of Age Across All Care Levels in England
Preprint
Carter EC. et al, (2025)