Budapest University of Technology and Economics
Ágnes Salánki is a second-year PhD student at the Budapest University of Technology and Economics (BME) with a research focus on statistical performance analysis of fault tolerant systems. She interned for Google and the Data Mining and Search Group of the Hungarian Academy of Sciences (MTA SZTAKI), where her projects were based on applications of visual analytics. She is co-lecturer of the course ''Big Data Analysis Techniques'' at the BME. Additionally, she is an R enthusiast with a special interest in visual-algorithmic methods and outlier detection; co-author of the chapter ''Outlier Detection'' in the PhD textbook ''Intelligent Data Analysis'' (in Hungarian).