Sumit Gulwani awarded 2021 Max Planck Humboldt Medal
Sumit Gulwani, a scientist at Microsoft Research in Redmond, is one of two recipients of the 2021 Max Planck-Humboldt Medal. He will collaborate with MPI-SWS faculty Rupak Majumdar and Adish Singla on the problem of AI in Education.
With a background in program analysis and artificial intelligence, Sumit Gulwani shaped the field of program synthesis, which emerged around 2010. The computer scientist developed algorithms that can efficiently generate computer programs from very few input-output examples, ...
With a background in program analysis and artificial intelligence, Sumit Gulwani shaped the field of program synthesis, which emerged around 2010. The computer scientist developed algorithms that can efficiently generate computer programs from very few input-output examples, ...
Sumit Gulwani, a scientist at Microsoft Research in Redmond, is one of two recipients of the 2021 Max Planck-Humboldt Medal. He will collaborate with MPI-SWS faculty Rupak Majumdar and Adish Singla on the problem of AI in Education.
With a background in program analysis and artificial intelligence, Sumit Gulwani shaped the field of program synthesis, which emerged around 2010. The computer scientist developed algorithms that can efficiently generate computer programs from very few input-output examples, natural-language-based specification, or from just the code and data context. His work made it possible for non-programmers to program tedious, repetitive spreadsheet tasks, and enabled productivity improvements for data scientists and developers for data wrangling and software engineering tasks. Recently, Sumit has also been using the tools of program synthesis for computer-aided education of pupils and students. Starting from the automatic correction of learners' work in programming education, he further evolved this line of work to detect misunderstandings and give learning feedback and grades, also in subjects like mathematics and language learning.
The medal comes with prize money in the amount of 60,000 euros.
With a background in program analysis and artificial intelligence, Sumit Gulwani shaped the field of program synthesis, which emerged around 2010. The computer scientist developed algorithms that can efficiently generate computer programs from very few input-output examples, natural-language-based specification, or from just the code and data context. His work made it possible for non-programmers to program tedious, repetitive spreadsheet tasks, and enabled productivity improvements for data scientists and developers for data wrangling and software engineering tasks. Recently, Sumit has also been using the tools of program synthesis for computer-aided education of pupils and students. Starting from the automatic correction of learners' work in programming education, he further evolved this line of work to detect misunderstandings and give learning feedback and grades, also in subjects like mathematics and language learning.
The medal comes with prize money in the amount of 60,000 euros.