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Bastiaan Quast

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Bastiaan Quast
Alma materGraduate Institute
Known forrnn (software), datasets.load
Scientific career
Fieldseconomics, data science, machine learning
InstitutionsUNCTAD, International Telecommunication Union
Doctoral advisorRichard Baldwin, Jean-Louis Arcand
Websitehttps://qua.st/

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[1]. Quast is a great-great-grandson of the Nobel Peace Prize laureate Tobias Asser.[2]

Early life and education

Bastiaan Quast graduated from University of Groningen with a bachelor's degree in Economics and bachelor's degree in Theoretical philosophy. He holds a master's degree in Econometrics from the University of St. Gallen He obtained his Ph.D from Graduate Institute with advisors Richard Baldwin and Jean-Louis Arcand, his work on local languages and internet usage was discussed at the 2017 G20 meeting in Germany.[3][4][5]

Career

A screenshot of the datasets.load GUI

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[6]). 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[7]). The R packages decompr and wiod have been downloaded >20,000 times.[8][9] The rddtools package, on Regression discontinuity design was downloaded >20,000 times.[10] Quast currently works at the International Telecommunication Union.[11]

Bibliography

Kummritz, Victor; Quast, Bastiaan (2017). Global value chains in developing economies. London, United Kingdom: VoxEU.

References

  1. ^ Quast, Bastiaan (2019-06-12), Regresssion Discontinuity in R., retrieved 2019-09-19
  2. ^ "Steven Guy Quast". www.dutchjewry.org. Retrieved 2019-10-06.
  3. ^ Taylor, Emily (February 16, 2017). "Bridging the Digital Divide: infrastructure skills and women's empowerment" (PDF). G20 Insights.
  4. ^ "Les motifs de la lenteur d'Internet en Afrique | Info Afrique". Info Afrique (in French). 2016-08-30. Retrieved 2018-09-24.
  5. ^ Manager, African (2016-08-30). "Internet Society se penche sur l'Afrique". African Manager (in French). Retrieved 2018-09-24.
  6. ^ Quast, Bastiaan (2019-08-30), Recurrent Neural Networks in R., retrieved 2019-09-19
  7. ^ Quast, Bastiaan (2019-03-26), Tools for view datasets in RVisual interface for loading datasets in RStudio from all installed (unloaded) packages.: bquast/datasets.load, retrieved 2019-09-19
  8. ^ Quast, Bastiaan (2019-05-16), GVC decomposition in R., retrieved 2019-09-19
  9. ^ Quast, Bastiaan (2019-09-12), Data sets from the World Input Output database, for the years 1995-2011: bquast/wiod, retrieved 2019-09-19
  10. ^ Quast, Bastiaan (2019-06-12), Regresssion Discontinuity in R., retrieved 2019-09-19
  11. ^ "unctad.org | e-week 2018 |". unctad.org. Archived from the original on 2018-09-24. Retrieved 2020-04-01.
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