Dan Nicolae is Professor and Chair of Statistics at University of Chicago where he is also Professor in the Department of Medicine, Section of Genetic Medicine. Originally from Craiova, Dan Nicolae graduated from “Facultatea de Matematica” of University of Bucharest in 1995, and has obtained his PhD in Statistics from University of Chicago in 1999. He has held visiting positions at deCode Genetics in Iceland, University of Oxford and UCLA. His research focus is on developing statistical and computational methods for understanding the human genetic variation and its influence on the risk for complex traits, with an emphasis on asthma related phenotypes. The methodology developed in his group is based on foundations in high-dimensional inference, machine learning and data science. The current focus in his statistical genetics research is centered on data integration and system-level approaches using large datasets that include clinical and environmental data as well as various genetics/genomics data types: DNA variation, gene expression (RNA-seq), methylation and microbiome. Dan Nicolae has advised more than 50 researchers at all levels (Master, PhD and Post-Doctoral) and has published more than 130 articles in scientific journals. He has been member of numerous Advisory and Editorial Boards and has served on panels in United States, Canada, UK and European Union.
Razvan C. Bunescu is a Professor in the School of Electrical Engineering and Computer Science at Ohio University. He received the PhD degree in computer science from the University of Texas at Austin in 2007, with a thesis on machine learning methods for information extraction. His research interests lie in the general area of machine learning, with a focus on applications in computational linguistics, music information retrieval, biomedical informatics, computer architecture, and more recently computational creativity. His work has been consistently funded by grants from the National Science Foundation and the National Institutes of Health.
Carlos A. Iglesias received the telecommunications engineering degree and the PhD degree in telecommunications, both from the Universidad Politécnica de Madrid (UPM), in 1993 and 1998, respectively. He is an associate professor in the Telecommunications Engineering School, UPM, Spain and Head of the Intelligent Systems Research Group, since 2014. He has been a principal investigator on numerous research grants and contracts in the field of advanced social and IoT systems, funded by the regional, national and European bodies. His main research interests include social computing, multiagent systems, information retrieval, sentiment and emotion analysis, linked data, and web engineering. He participates in the Big Data Value Association in the groups of Data Visualization and Finance.
(To be confirmed)
Cris Doloc is the founder and principal of FintelligeX. Cris holds a Ph.D. in Computational Physics and has worked for more than two decades at the intersection of Quantitative and Computational Finance. He is an accomplished technology leader who designed and led the implementation of several firm-wide trading, valuation and risk systems. Cris’ expertise extends from enterprise software architecture, to High Performance Computing and Quantitative trading.
Cris is also teaching at the University of Chicago in the Financial Mathematics program. He is also a well published author that is very passionate about the opportunities that recent developments in Cognitive Computing and Computational Intelligence could bring to the field of Quantitative and Computational Finance.
“The most important lesson that I have learned in my career, is that the potential to solve complex business problems depends mostly on being able to recruit, train and develop the necessary talent that could apply efficiently the latest technology available”.
(To be confirmed)
Marko Grobelnik is an expert in the areas of analysis and knowledge discovery in large complex databases. Marko collaborates with major European and US academic institutions and consults for industries such as British Telecom, Microsoft Research, Nature, New York Times, Bloomberg and Accenture. Marko is the author of several books in the area of machine learning, data mining, text mining and semantic technologies and author of many scientific papers. He is also W3C AC representative for JSI, CEO of the company Quintelligence and co-founder of the company Cycorp Europe. Marko also served as a program chair for the European Machine Learning conference (ECMLPKDD 2009) and for the European Semantic Web Conference (ESWC 2011). In terms of project experience, Marko served as the technical coordinator for the projects FP6 IST-World and FP7 VIDI and as scientific coordinator for the FP7 project X-LIKE; he was a member of the project management board in several FP6 and FP7 Projects (SEKT, NEON, ACTIVE and COIN). In 2016, Marko was appointed as the Digital Champion of Slovenia.
Dr. Ioan Toma is the COO and co-founder of ONLIM GmbH, an Austrian startup focusing on Chatbots and Intelligent Assistants, being responsible for the research activities of the company. In the past 8 years, he was a senior researcher at Semantic Technology Institute (STI) Innsbruck, University of Innsbruck, Austria. Ioan’s current research areas include Semantics, Knowledge Graphs, Chatbots and Intelligent Assistants. Ioan received a Ph.D. in Computer Science from the University of Innsbruck, Austria, with a thesis on Modelling and Ranking Semantic Web services based on Non-functional properties and a Diploma of Engineering and a Master’s degree in Computer Science from the Technical University of Cluj-Napoca, Romania. Ioan has been involved in a number of research projects at national and European levels (e.g. ASG, DIP, eFreight, ENVISION, EuTravel, FITMAN, Grisino, LarKC, LDBC, LDCT, MSEE, OntoHealth, RENDER, ServiceWeb3.0, SEALS, SESA, and SOA4All). He has published around 85 articles as book chapters, conference papers, workshops papers and journal articles. Ioan has also co-organised multiple workshops and has been a member of many conference and workshop program committees.
Dumitru Roman works as a Senior Research Scientist at SINTEF (Norway) – the largest independent research organization in Scandinavia. He has wide experience with initiating, leading, and carrying out data-driven and research-intensive projects, participating in dozens of large international projects during the past 14 years in which he has collaborated with large numbers of private companies, public sector organizations, universities, and research institutes. He is currently active in the data management field, focusing on innovation projects enabling data-driven business products and services. He holds an adjunct associate professorship at the University of Oslo, Norway.