Authored several books and chapters, such as 'Clear speech: Technologies that enable the expression and reception of language' (2016), and published numerous papers in journals covering topics like the application of machine learning in medicine and explainable AI for the operating theater.
Research Experience
Serves as a professor, focusing on the intersection of machine learning and healthcare.
Background
Interested in all combinations of machine learning, natural language processing, and healthcare. Research themes include natural language processing, brain data, explainable models, machine learning, human-robot interaction, healthcare, and fairness, privacy, and ethics of AI.