Melanie F Pradier
Melanie F. Pradier is currently a senior research scientist at Microsoft Research MSR in Cambridge, UK. Her current research interests include interpretable machine learning, probabilistic graphical models, approximate inference techniques (MCMC and variational techniques), and biomedical applications. Some of the general questions she is trying to answer are: How can we better quantify uncertainty (when should you trust your model)? How can we design expressive, interpretable priors in Bayesian models? How can we combine human knowledge with data-driven evidence? A detailed CV and list of publications or patents can be found at her personal website.
Melanie 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.