Torsten is an Applied Research Scientist and project leader in the Human-Machine Interaction Through Language program at ServiceNow Research. His current research interest is deep learning for code, especially with large language models and integrating symbolic reasoning. In 2022, he is co-organizing the Deep Learning for Code workshop at ICLR. Previously, he has been more focused on semantic parsing. He has published several papers on translating natural language questions into SQL queries. One of his most successful works on this topic is the PICARD project, which is a state-of-the-art text-to-SQL parser.