Bio: Jessica Hullman is an Associate Professor of Computer Science and Journalism at Northwestern University. Her research develops new representations, interactions, and evaluation methods for aiding people in analyzing and visualizing data to amplify cognition and decision making. Her recent research also addresses theories of data analysis and science reform. She founded and co-directs the Midwest Uncertainty Collective, a lab devoted to better visualization techniques, tools, evaluations, and theory around how to communicate uncertainty in data. Jessica is the recipient of a Microsoft Faculty Fellowship, NSF CAREER Award, and multiple best papers at top visualization and human-computer interaction conferences, among other awards.

Bio: Seán O’Donoghue leads the BioVis Centre (http://odonoghuelab.org/) based at the Garvan Institute of Medical Research in Sydney, Australia. He is also chief editor of the Data Visualization section of the Frontiers in Bioinformatics journal. Formerly, he was also an OCE Science Leader and a Chief Research Scientist in Australia's CSIRO. Much of his career was spent at the EMBL in Heidelberg, Germany, and also at EMBL’s first spin-off company, Lion Bioscience AG, where he was Director of Scientific Visualisation. Seán's career has focused on using computational methods to advance the life sciences. His early work was on improving how bimolecular structures are calculated from NMR data; however since 2000 he has focused on data visualization methods. He is co-founder and chair of the 'VIZBI' initiative, aimed at raising the global standard of data visualisation in computational biology. His team have created bioinformatics resources used by tens of thousands of life scientists worldwide, as well as informative and inspirational biomedical animations seen by over half a million people. His current research interests centre on using bioinformatics and data visualisation to better understand the spatial organisation of the genome (e.g., http://rondo.ws/), dynamic changes in the epiproteome (e.g., https://minardo.org/), and the structural biology of the proteome (e.g., https://aquaria.app/) - including the unknown or 'dark' proteome.