Martin Fadler is a PhD student in Information Systems at the Faculty of Business and Economics (HEC), University of Lausanne. Previously, he has worked in a data-driven startup as a Data Scientist where he learned to manage and build data products with advanced analysis methods and technologies. Mr. Fadler received a M.Sc. in ICT Systems and Management from the Technical University of Berlin, Germany, and a B.Sc. in Industrial Engineering from the Technical University of Clausthal, Germany.
Since Martin is passionate about data and understands its value, he will focus on the impacts of Big Data and AI on Data Management processes. Currently, his research focuses on the application of Machine Learning in the Data Management Lifecycle.
Hippolyte Lefebvre is a PhD candidate in Information Systems at the Faculty of Business and Economics (HEC), University of Lausanne. Prior to joining the team, he worked for two years as a monitoring and data analyst for the United Nations Office for Project Services (UNOPS) in Geneva. He also worked for Deloitte in Luxembourg as an IT risk consultant. Hippolyte received his B.Sc. and M.Sc. (Diplôme d’ingénieur) in Electronics and Computer Science from CPE engineering school, University of Lyon. He was also an exchange student at EPFL for his last year of Master’s degree.
In collaboration with the Competence Center Corporate Data Quality (CC CDQ), Hippolyte investigates the enablers of data democratization in enterprises so that companies can empower more employees to work with data.
Pavel Krasikov is a PhD candidate in Information Systems at the Faculty of Business and Economics (HEC), University of Lausanne. He completed a bachelor degree in Economics from the Financial University (Russia) and a BSc in Management from HEC Lausanne, followed by MSc in Information Systems (HEC Lausanne). He also worked at Philip Morris International for his master thesis “contextual data quality as inhibitor of data-driven decision making”.
In collaboration with the Competence Center Corporate Data Quality (CC CDQ), Pavel’s research focuses on overcoming barriers to the use of external data in the business context, encompassing the enterprise-wide sourcing and managing of external data.
Redwan Hasan is a PhD student in Information System at the Faculty of Business and Economics (HEC), University of Lausanne. Previously, he worked in various multinational companies in and around the domain of Business Analysis and Project Management. This allowed him to work closely with business-critical data and familiarize himself with challenges in managing the quality of such data. Redwan completed two MSc degrees – one in Information System (Linnaeus University, Sweden) and the other in Business Analytics (University of Lausanne). Prior to that, he obtained a BSc in Information Technology (University of Wollongong Dubai, UAE).
In collaboration with the Competence Centre Corporate Data Quality (CC CDQ), Redwan would be focusing into the domain of Data Quality and in particular, into the quality of unstructured or “dark data”.
Valerianne Walter is a PhD candidate in Information Systems at the Faculty of Business and Economics (HEC), University of Lausanne. She completed bachelor degrees in Computer Science and Chemistry at the Technical University of Munich followed by MSc in Information Systems (HEC Lausanne). Prior to joining the team, Valerianne worked at thyssenkrupp for three years as a project manager for digitalization projects, notably around process mining and advanced analytics.
In collaboration with adidas, Valerianne’s research focuses on Machine Learning systems for Data Quality Management.