Leonie studied chemistry at the University of Marburg and at St Petersburg State University specializing in computational chemistry. She undertook her doctoral work in Theoretical Quantum Chemistry at the University of Mainz, graduating with highest honors in 2013. Cofounding a student-led journal for negative and null results, she became interested in publishing and the Open Access movement. After graduation, she joined what is now Springer Nature to work as a manuscript editor for Nature Communications and moved to Nature in 2014 where she handled manuscripts from fundamental physics. In 2016, she became team leader of Nature’s physics and astronomy team. Leonie joined PLOS ONE in August 2017.
0000-0002-9890-5451The potential of using machine learning techniques in medicine is immense. As electronic health records have become widely available, there is hope that machine learning will improve diagnosis and care. However, integrating these new methodologies