I am only entering this wonderful place now but it is totally aligned with what I do. My name is Edouard Debonneuil, I live in France. I do research on large scale longitudinal health data to find what drugs should be taken for what conditions and, quite similarly, what are the morbidity and mortality risks given health conditions and treatments. I do this both as a private consultant (ActuRx) and as a late thesis with ISFA in France (public research, actuarial sciences).
Previously to doing this I was doing computational biomedical research (graduated from Centrale in France and UCLA), moved (for financial reasons) to market finance algorithms and insurance database analysis (I was head of R&D at AXA for the life part, with my team we were crunching longitudinal insurance data from many countries; I am a life actuary from the ISFA university). There I discovered the existence of large-scale longitudinal health data, thought that was the perfect match for me to help towards a better help, and plunged into this field.
In the long term I would like to contribute to some general automated system that tells what to do to stay healthy (or to recover health). In order to walk before being able to run, as a short term step I would typically like to investigate the effects of metformin on general mortality specific morbidity, as a sort of next step behind Bannister CA et al 2014 (http://www.ncbi.nlm.nih.gov/pubmed/25041462). Anyone interested in doing such an analysis collectively? I am going to post the question in the research section of this forum.