Affiliated to research
I am an orthopaedic surgeon at Danderyd University Hospital, PhD and researcher at KI. In addition to my clinical profile I have a background in programming. I've been toying around with different projects in a multitude of languages since mid 90:s where the statistical programming language R lies very close to heart as I've been in the Stockholm R-User Group since 2013 and have 4 published R-packages. My most downloaded package, htmlTable, is downloaded more than 200 000 times/month. You can find all of my open-source contributions on GitHub. I also have a research blog, G-forge, where I try to post random things that I find interesting whenever I find the time.
My main research interests are currently epidemiology and machine learning. I finished my thesis in May 2014 on how patient factors influence outcomes after total hip replacements. It was a wonerful collaboration with the Swedish Hip Arthroplasty Register that work spurred my interest in advanced statistics and that then led me towards AI and deep learning. My current focus is primarily on interpreting radiographs using deep learning where try to find features beyond just fracture detection that can be used to guide clinicians.