Dimitris Spathis is a senior research scientist at Nokia Bell Labs and a visiting researcher at the University of Cambridge, where he completed his PhD. His work enables AI to handle complex real-world data efficiently, with a particular interest in how personal devices can be helpful for daily health.
He studies various topics in AI including data efficiency, multimodality, robustness, trustworthiness, and signal processing. He has previously worked at Microsoft Research, Telefonica Research, and Ocado. In 2020, he helped start one of the largest studies in audio AI for health (covid-19-sounds.org).
His research has been published in top academic venues in machine learning and AI for health, while findings have been featured in international media such as the New York Times, BBC, CNN, Guardian, Washington Post, Forbes, Financial Times, and Techcrunch. He has organized scientific meetings at top AI conferences and he serves on the editorial boards of Nature Digital Medicine and IEEE Pervasive Computing. His primary goal is to solve real problems and make AI more robust, humane, and useful. You can read more at https://dispathis.com/.
