I am a member of PHI-Lab, where I hold a Medical Research Council Skills Development Fellowship. My research combines social epidemiology and social policy to assess how non-medical policies influence health and disease. I use experimental and quasi-experimental methods to evaluate the long-term health effects of public policies shaping socioeconomic conditions.

As part of my current fellowship, I am working on the heterogeneous effects of social policies on health outcomes using new machine learning techniques as well genomics.

I am currently also involved on a number of projects:

• The health effects of family policies, in particular the expansion of parental leave in Denmark, using registry data. This project is conducted in partnership with colleagues at the University of Copenhagen and has been funded by the Danish Health Foundation. 
• The health effects of Opportunity NYC Family Rewards and Paycheck Plus. These two demonstrations are randomized controlled trials which have been implemented by MDRC. Family Rewards is the first conditional cash transfer implemented in a high-income countries and Paycheck Plus tests the expansion of the Earned Income Tax Credit to single workers with no children. In partnership with colleagues at Columbia University, I investigate whether these programs impacted the health of participants. 
• Gene-by-Environment Interactions. I am using data from the English Longitudinal Study of Ageing, the Health and Retirement Study in the US  And the UK Biobank to understand whether the effects of selected social policies on cognition vary by genetic predisposition to cognitive decline and dementia.