Gust Verbruggen

关于

As part of the PROSE team, my research is focused on leveraging program synthesis technologies to make users more productive by automating repetitive tasks. Two research directions that I am particularly excited about is integrating syntactic program synthesis with semantic knowledge and approaches that do not require the user to give examples, also called predictive program synthesis. More broadly, I am fascinated by advanced in artificial intelligence in general and always try to find new ways of integrating and combining them to solve new and exciting problems.

Before joining Microsoft, I worked as a doctoral researcher at KU Leuven under supervision of Luc De Raedt, mainly working on leveraging predictive program synthesis for automating preprocessing steps of the data science pipeline. During this time, I also collaborated with Sumit and Vu on integrating large language models with Flash Fill in order to solve problems that require semantic knowledge and natural language.