Professor Dr. Gerard de Melo holds the Chair for AI and Intelligent Systems and leads the corresponding research group at the Hasso Plattner Institute (HPI). The vision driving de Melo’s research is the idea that so much digital data exists that machines ought to be able to learn to guide us in almost every aspect of our daily life, such as addressing our information needs and helping us make more informed decisions. This research, however, requires novel algorithms that simultaneously learn and integrate information from multiple heterogeneous data sources in order to make sense of human language and more generally of the world. In addition to AI and Machine Learning for Large Language Models and Natural Language Processing, de Melo investigates cross-modal AI and the societal and philosophical aspects of AI.

Previously, de Melo was a faculty member at Rutgers University in the US and at Tsinghua University in Beijing, and a postdoc at ICSI/UC Berkeley. He has published over 200 papers on diverse aspects of AI, receiving a number of Best Paper awards.