Prof. Dr. Blaž Zupan teaches artificial intelligence and machine learning at the University of Ljubljana and Baylor College of Medicine in Houston. His research has focused on explainable AI and combinations of machine learning and data visualization techniques. He runs a twenty-member bioinformatics laboratory, which also develops Orange (http://orangedatamining.com), a comprehensive open-source toolbox for machine learning. He has published his work in more than a hundred articles that have received in total over ten thousand citations. He is the recipient of the Zois Award (2010), two Golden Plaques of the University of Ljubljana (2011, 2019), a Fulbright Scholarship (2013), and is a six-time recipient of the FRI Best Teacher Award (2008-2017). Res Publica, Financial Times, Visegrad Fund, and Google enlisted him in the Top 100 Most Influential Innovators of Central and Eastern Europe (2016). He consults companies and public organizations in the fields of data-driven production and management, decision support systems, explainable AI, and training in machine learning.
Within the SMASH project, dr. Zupan and his group welcome post-docs interested in applications of machine learning, AI, and deep learning technologies to analyze biomedical data and merge the locally available data sets with bodies of knowledge extracted from publicly available text, images, and other information resources. We welcome candidates who aim to gain skills in machine learning, deep models, and explainable data visualizations.