Skip to main content
Wolfson Institute of Population Health

Dr Fabiola Eto, PhD

Fabiola

Postdoctoral Research Associate in Data Science

Email: f.eto@qmul.ac.uk

Profile

I am a postdoctoral research associate in data science funded by Tommy’s National Centre for Preterm Birth Research to work on multiple projects related to women’s health, specifically pregnancy complications and health before and after pregnancy, using English electronic health records data. Currently, I work at the Centre for Public Health and Policy within the Wolfson Institute of Population Health, specifically at the Women's Health Research Unit.

In my previous postdoctoral research in epidemiology, I worked on a Medical Research Council-funded project to investigate early-onset multimorbidity patterns and trajectories across different ethnic groups and sexes in England using the CPRD GOLD data, linked to HES, ONS and IMD databases. I developed skills in real-world data using diverse statistical analysis methods, such as latent class analysis and competing risks survival analysis.

I am a nurse with a master’s degree in public health, a Ph.D. in epidemiology in public health. During my Ph.D. I received a PDSE-Capes research grant to develop my doctoral research in collaboration with researchers at Stockholm University, in Stockholm, Sweden. During my doctorate, I investigated the factors associated with psychosocial stress at work, allostatic load (a risk score derived from various biological measures that capture dysregulation across multiple physiological systems resulting from chronic stress exposure) and self-rated health, considering the relationships between work characteristics, biological, socioeconomic and behavioural features, and psychosocial factors. Additionally, I tested an operational model to assess the allostatic load, including multiple biological measures from the ELSA-Brasil participants (baseline n=15,105). I applied psychometric analysis, including exploratory and confirmatory analysis, and also applied generalised estimating equations using Mplus and R.

Before joining QMUL, I worked as a research assistant at the ELSA-Brasil (Brazilian Longitudinal Study of Adult Health) from 2013 to 2019. From 2019 to 2020, I worked as a real-world epidemiologist analyst at GlaxoSmithKline Latin America, based in Rio de Janeiro, Brazil.

Research

Back to top