Melanie F Pradier
Melanie F. Pradier is currently a DSI Postdoctoral Fellow working on probabilistic models for data exploration. She received her Ph.D. at Universidad Carlos III in Madrid, funded by a Marie Curie ITN Fellowship from the European Union. In 2014-2015, Melanie was a researcher at the Memorial Sloan Kettering Cancer Center in New York. Melanie studied Telecommunication Engineering at the Technical University of Madrid (UPM), and obtained her MSc in Information Technology at the University of Stuttgart in 2011. Just before her PhD, she spent two years working at the industry in the European Sony Research Center in Stuttgart, and Sony Corporation R&D in Tokyo. Her current research interests include interpretable machine learning, probabilistic graphical models, approximate inference techniques (MCMC and variational techniques), dependent random measures, clustering and topic modeling, biomedical applications, and information theory.A detailed CV and list of publications or patents can be found at her personal website.