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Prof Bianca De Stavola
Prof Bianca De Stavola profile picture
Appointment
  • Professor of Medical Statistics
  • Population, Policy & Practice Dept
  • UCL GOS Institute of Child Health
  • Faculty of Pop Health Sciences
Biography

Bianca De Stavola joined UCL 4 years ago, after 23 years at the London School of Hygiene and Tropical Medicine where she was Professor of Biostatistics in the Department of Medical Statistics and  co-Director of the Centre for Statistical Methodology. 


Bianca received her PhD from Imperial College London and an MSc from the London School of Economics and Political Sciences, after graduating in Statistical and Economic Sciences at Padua University (Italy). 

Research Summary

Bianca De Stavola's main research activities involve the understanding, development and implementation of statistical methods for long-term longitudinal studies, with specific applications to life-course epidemiology.  As these often involve causal enquiries, in particular related to understanding pathways towards disease development, mediation analysis is her main interest. 

Bianca over the years has developed several methodological and substantive collaborations, in particular with Rhian Daniel (University Cardiff),  Isabel dos Santos Silva (London School of Hygiene and Tropical Medicine), George Ploubidis (UCL CLS), and Nadia Micali (UCL GOS ICH).  Since moving to GOS ICH she has been working with Daniel Tompsett in developing methods for target trial emulation,  Roz Shafran and Terence Stephenson on the CLoCK study of long COVID in children, Ruth Gilbert on the SPECIAL study of health outcomes in children with special education needs, Pia Hardelid,  Katie Harron and Richard Silverwood on various methodological grants addressing challenges that arise from linked administrative data.


Teaching Summary

Bianca's teaching experience ranges from Master Courses modules to specialist short courses for doctoral or post-doctoral students. She also I also contributes to several short courses held abroad,  mostly related to causal inference. She is a long standing faculty member of the European Educational Programme in Epidemiology, held yearly in Florence. With Paola Zaninotto (UCL Institute of Epidemiology and Health) she has  just been awarded an MRC grant to provide training in data science for longitudinal data (RADIANCE). 

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