Danielle Saunders

Danielle Saunders is a Research Scientist at DeepL, specializing in machine translation and natural language processing. She is based in the UK and focuses on improving and adapting neural networks for language generation. Her academic background includes a PhD from the Engineering Department at the University of Cambridge, where she conducted research on domain adaptation for neural machine translation, which earned her the EAMT Best Thesis Award in 2021.245

At DeepL, she has been involved in researching and implementing machine translation technologies since March 2024, following her previous role in a similar capacity from October 2019 to February 2024. Her work has garnered significant recognition, with over 600 citations in her research contributions.134