I am an Assistant Professor in Epidemiology and Causal Inference. The primary long-term goal of my research is to understand how to best use observational data to address questions on interventions that aim to prevent or treat disease. This encompasses developing, refining, and implementing advanced frameworks and methods for causal inference, mainly for the analysis of register data in Sweden.
I have specific interests in the generalizability of results from randomized trials, understanding how we can use observational data to extend results from randomized trials, and the benchmarking of observational studies against the randomized trials they aim to emulate.
I am funded by the Swedish Research Council, FORTE, and SFOepi.
I am the director of the course "Causal Inference: emulating a Target Trial to Assess Comparative Effectiveness" on the Doctoral programme in Epidemiology, and run a workshop on methods for transportability analyses.
I also run the Epidemiology Methods Series; you can find recordings of all talks in the series here.
PhD in Epidemiology - 2016 to 2019 - London School of Hygiene and Tropical Medicine - My thesis explored the effect of endocrine therapies on the risk of cardiovascular disease in postmenopausal breast cancer survivors.
MPhil in Epidemiology - 2013 to 2014 - University of Cambridge
BSc in Mathematics - 2009 to 2012 - University of York