Sophia Ananiadou is Professor in Computer Science at the University of Manchester. She gained her PhD from UMIST in the area of natural language processing. Her research is interdisciplinary and her main contributions are in biomedical text mining and NLP. She is also the Director of the National Centre for Text Mining (since 2005), providing tools, resources, systems and infrastructure for biomedicine. She has had several projects in areas such as reconstruction of biological pathways using text mining, information extraction from the literature, the development of methods for the automation of systematic reviews and semantic search systems. She has applied her research mostly in systems biology, medicine, public health, biodiversity and chemistry.
Marina Marie-Claire Höhne née Vidovic received her masters degree in Technomathematics from the Technical University of Berlin in 2012. Afterwards she worked as a researcher at Ottobock in Vienna, Austria, on time series data and domain adaptation for controlling prosthetic devices. In 2014 she started her PhD on explainable AI and received the Dr. rer. nat. degree from the Technical University of Berlin in 2017. After one year maternal leave, she continued working at the machine learning chair at TU Berlin as a postdoctoral researcher.
In 2020 she started her own research group UMI Lab (twitter, website) dealing with explainable artificial intelligence at the Technical University of Berlin. Moreover, since 2021 she is a junior fellow at the Berlin Institute for Foundations of Learning and Data and a fellow of the ProFiL excellence program.
Since 2021 she has a secondary employment as Associate Professor at the Arctic University of Norway.