page_title: Bastiaan Quast
section_title: Career
hierarchical_section_title: Bastiaan Quast / Career
caption_attribution_description: English: To avoid confusion, I am the author of the software in the image.
context_page_description: Bastiaan Quast is a Dutch-Swiss economist and data scientist. He is the main author of the open-source rnn deep-learning framework in the R programming language, and the datasets.load package, as well as R packages on Global Value Chain decomposition & WIOD and on Regression Discontinuity Design. Quast is a great-great-grandson of the Nobel Peace Prize laureate Tobias Asser.
context_section_description: Bastiaan Quast created the popular machine learning framework rnn in R, which allows native implementations of recurrent neural network architectures, such as LSTM and GRU (>30,000 downloads). While working at UNCTAD, Quast developed the popular package datasets.load, which is part of the top 10% of most downloaded R packages (>50,000). The R packages decompr and wiod have been downloaded >20,000 times. The rddtools package, on Regression discontinuity design was downloaded >20,000 times. Quast currently works at the International Telecommunication Union.
caption: A screenshot of the datasets.load GUI
exif: {}