Kersten Petersen has been a senior medical imaging researcher at HeartFlow since 2014. He especially enjoys research at the boundary of medical image analysis and machine learning. Kersten has published state-of-the-art segmentation algorithms of anatomical structures, including coronary arteries, mammograms, and the spine. He obtained a Ph.D in computer science from the University of Copenhagen, Denmark in 2012, and focused on deep learning for medical imaging in the lab of Andrew Ng at Stanford in 2011. Previously, he graduated with an M.S. in computer science from the University of Freiburg, Germany, including a research stay at the University of Western Australia.