I am grateful to have a strong international network consisting of experts in big data analysis, causal methods and nephrology.
I have a strong collaboration with Juan-Jesus Carrero at Karolinska Institute.
I co-supervise students in his lab, and we continue to write papers together using some of the highest quality datasets in the world (e.g. SCREAM).
I also currently work with Marie Evans (Karolinska Institute) on the Swedish Renal Registry, with Michael Shlipak (UCSF) on VA data, with Christian Fynbo Christiansen (Aarhus University) on the Danish registries, with Laurie Tomlinson (London School of Hygiene and Tropical Medicine) on CPRD data and with Shirley Wang (Harvard Medical School) on US EHR data.
During my postdoctoral fellowship at Harvard I extensively worked with Rishi Desai, Josh Lin, Elisabetta Patorno, and Sebastian Schneeweiss.
These researchers have expertise in big data analytics and taught me how to analyse some of the largest datasets worldwide.
Being at Harvard also allowed me to learn new causal inference methods from Miguel Hernán and James Robins; I value that working with Miguel Hernán has taught me to write much more clearly and eloquently.
Lastly, I feel fortunate to work closely with Andrew Levey and Josef Coresh: two legends in the field of nephrology who - amongst much other groundbreaking research - developed the kidney disease staging system, and the CKD-EPI and MDRD equations to estimate kidney function.
From them, I learned to focus on the research questions that truly matter.