Lifelong Learning Certificate in Data Science: From data to decision
Co-developed by
Faculty
- Angela Montanari - University of Bologna
- Candelaria Lucia Hernàndez - Complutense University of Madrid
- Carlos Gregorio Rodriguez - Complutense University of Madrid
- Charlotte Ducuing - KU Leuven
- Claudio Sartori - University of Bologna
- Dieter Decraene - KU Leuven
- Jan De Bruyne - KU Leuven
- Jens Bürger - KU Leuven
- Jesse Davis - KU Leuven
- Joaquin López Herraiz - Complutense University of Madrid
- Jochen De Weerdt - KU Leuven
- Johannes De Smedt - KU Leuven
- Lars Schewe - University of Edinburgh
- Lidia Dutkiewicz - KU Leuven
- Lieven De Lathauwer - KU Leuven
- Luc De Raedt - KU Leuven
- Maja Nisevic - KU Leuven
- Monique Snoeck - KU Leuven
- Noémie Krack - KU Leuven
- Peggy Valcke - KU Leuven
- Philip Joris - KU Leuven
- Philippe Meire - KU Leuven
- Pier Luigi Martelli - University of Bologna
- Pierre Dewitte - KU leuven
- Piotr Białas - Jagiellonian University
- Siri Willems - KU Leuven
- Szymon Bobek - Jagiellonian University
- Thomas Gils - KU Leuven
- Thomas Marquenie - KU Leuven
Angela Montanari - University of Bologna
Angela Montanari is Full Professor of Statistics and past Head of the Department of Statistical Sciences of the University of Bologna (Italy), president of the International Federation of Classification Societies (IFCS) from 2020 to 2021, former president of the Classification Group of the Italian Statistical Society (CLADAG) from 2007 to 2009. Her research interests are in the field of supervised and unsupervised classification, dimension reduction, data science and machine learning. She has published more than 100 papers in international journals, conference proceedings and edited books.
Candelaria Lucia Hernàndez - Complutense University of Madrid
Candelaria Hernández is an Assistant Professor of Physical Anthropology at Complutense University. She holds a PhD in Biology and a MSc in Bioinformatics and Biostatistics. Her research focuses on the study of human population diversity and evolutionary history by using biodemography and molecular markers. She is especially interested in omics approaches.
Carlos Gregorio Rodriguez - Complutense University of Madrid
Doctor in Mathematics. Associate Professor at the Computer Science Department of the University Complutense of Madrid. Expert in parallel processing in computer clusters and big data. Leader of interdisciplinary projects with medical, biological and educational data. Highly involved in the design and developing of innovative tools and methodologies for university courses.
Charlotte Ducuing - KU Leuven
Charlotte Ducuing is a PhD fellow researcher at the Centre for IT and IP law (CITIP) of KU Leuven. Before joining CiTiP, she worked as in-house lawyer in the Belgian Railways for 6 years and as teaching assistant at the University of ULB (Belgium) for four years. She holds a Master’s degree in law from the University of Lille (France) with specialization in European law (first in the year), a Master’s degree in political sciences from the University Lille (Institut d’Etudes Politiques de Lille) and a LLM Intellectual Property and ICT Law (cum laude) from KU Leuven (2018). Since 2021, her doctoral research deals with the regulation of data as an economic resource in EU law. In this respect, she is also involved since 2021 in a C2 interdisciplinary KU Leuven research project (with Duurzaam Materialenbeheer) on the datafication of the circular economy through the notion of 'materials passports'. Charlotte is interested in the regulatory implications of new technologies, i.e. the use of technical norms (i.a. standardisation and certification) to regulate new technologies, the increasing recourse to 'risk-based' approaches to regulate the complex digital environment and the quasi-normative value that innovation has acquired in our techno-scientific society
Claudio Sartori - University of Bologna
Professor at the University of Bologna since 1992, he carries out scientific research in the areas of data mining, machine learning and data science. His research interests are mainly oriented towards the transformation of data into knowledge, applied in various domains, from data bases to big data. He has been and is involved in international and Italian research projects and is co-author of several publications, mainly in international journals and conferences.
He is scientific director of the Master in Data Science, offered by Bologna Business School and University of Bologna
Dieter Decraene - KU Leuven
Dieter holds a Master of Laws degree from KU Leuven (2019). As a student, he was a board member of the KULMUN association and took part in various international debate competitions. He has obtained an additional joint LL.M. degree from the University of Amsterdam and Columbia Law School. During this LL.M. track, he specialized in international criminal law, writing his thesis on the concept of cultural genocide. He consequently joined CiTiP in October 2020. He currently works as a full-time researcher at CiTiP, where he was previously involved in the H2020 Safe-DEED project, conducting legal & ethical research on MPC and data marketplaces. At present, he is working on the H2020 STARLIGHT project, focusing on AI, data protection & cybersecurity. In addition, he is the coordinator of the KU Leuven’s law incubator, IusStart. At the law faculty, he is also in charge of organizing workshops and events on Legal Innovation and Technology.
Jan De Bruyne - KU Leuven
Jan De Bruyne successfully defended his Ph.D. in September 2018 on a topic dealing with the liability of third-party certifiers. During his research, he became interested in liability for damage caused by AI-systems. He was a postdoctoral researcher at the Ghent University Faculty of Law and Criminology working on robots and tort law. He started working at CiTiP in October 2019 as a postdoctoral researcher on legal aspects of AI and as a senior researcher within the Flemish Knowledge Centre for Data & Society (KDS). As from November 2020, he works at CITIP as a research expert on tort law and AI. Jan De Bruyne is a lecturer E-contracts within the LLM IT & IP Law since 2019. He is also a regular speaker at/organiser of conferences and seminars.
Jens Bürger - KU Leuven
I am motivated by exploring topics in the larger context they are embedded in and by creating interesting synergies at the intersection of technology and society. This led me to Leuven.AI where I focus on the strengthening and articulation of interdiscplinary and collaborative AI projects between our members as well as in collaboration with industrial and societal partners. I consider Leuven.AI stories as an effort to make our AI research at Leuven.AI more relatable and thus more meaningful to a wide range of people interested in technological developments in AI.
Jesse Davis - KU Leuven
He is a Professor in the CS department at KU Leuven, Belgium. His research focuses on developing novel artificial intelligence, data science, machine learning, and data mining techniques, with a particular emphasis on analyzing structured data. Jesse’s passions lie in using these techniques to analyze data arising from professional sports matches, make sense of lifestyle data, address problems in (elite) athlete monitoring and detect anomalies. In particular, his work on sports analytics has attracted significant attention from practitioners, fans, and the media with his research being covered in outlets such as fivethirtyeight.com, the New York Times, the Wall Street Journal, ESPN.com and the Athletic. He is an action editor for the Machine Learning Journal and AI Communications as well as a member of the editorial board for Data Mining and Knowledge Discovery. He served as the ECML PKDD 2018 journal-track co-chair, and was program co-chair for Scalable Uncertainty Manage in 2020 and the International Conference on Inductive Logic Programming in 2014. Prior to joining KU Leuven, he obtained his bachelor’s degree from Williams College, his PhD from the University of Wisconsin - Madison, and completed a post-doc at the University of Washington. He is also active in entrepreneurship. Most recently, he co-founded and serves on the board of directors for the KU Leuven spin-off runeasi. The company aims to provide real-time biomechanical feedback about running, particularly in the context of rehabilitation.
Joaquin López Herraiz - Complutense University of Madrid
Joaquin L. Herraiz received his PhD in Physics in 2010 from Complutense University of Madrid (UCM, Spain). He was a postdoctoral research fellow at Massachusetts Institute of Technology (MIT, USA), and since 2017 an Associate Professor at UCM. His research interests include medical imaging, high-performance computing and artificial intelligence.
Jochen De Weerdt - KU Leuven
His research interests are in applied machine learning and data analytics in business areas such as business process management (process mining), marketing (churn prediction), banking and finance (fraud analytics), and education (learning analytics). His recent research lines focus on representation learning in social networks, predictive process monitoring, trace clustering, and sequential pattern mining. Jochen was holder of the Belfius research chair in Analytics-Based Selling. He is a member of the Steering Committee of the IEEE Task Force on Process Mining, as well as main organizer of the Business Process Intelligence workshop at BPM. In addition, he is the (co-)founder and academic coordinator of the Postgraduate Studies in Big Data and Analytics in Business and Management at KU Leuven.
Johannes De Smedt - KU Leuven
Johannes De Smedt is an Assistant Professor in Business Information Systems at the Faculty of Economics and Business, KU Leuven. His research interests comprise various process analytics applications including process model forecasting, decision model extraction from process data, XAI in processes, and sequence mining.
Krzysztof Kutt - Jagiellonian University
Krzysztof Kutt is an assistant professor at the Jagiellonian University. As a computer scientist (PhD) and psychologist (MA), he tries to combine expertise from both fields into something cool in the area of affective HCI/BCI interfaces. In his free time, he rides a bike and reads fantasy and non-fiction.
Lars Schewe - University of Edinburgh
Lecturer in Operational Research, School of Mathematics, at the University of Edinburgh
Lidia Dutkiewicz - KU Leuven
Lidia Dutkiewicz obtained a Master's degree in Law from Adam Mickiewicz University in Poznań. Before joining the KU Leuven Centre for IT & IP Law (CiTiP) Lidia worked in a Brussels international law firm which specialized in entertainment, gambling and gaming law where she was advising clients on issues relating to EU competition law, data protection and artificial intelligence. As a member of CiTiP’s media cluster, Lidia participates in EU-funded projects, such as AI4Media (Artificial Intelligence for the Society and the Media Industry) and the Media Data Space project (Pilot Project - Digital European Platform of Quality Content Providers). Her research interests include freedom of expression, media freedom, recommender systems, content moderation, and the role of algorithmic gatekeepers in content curation and platforms’ accountability for mis- and dis-information.
Lieven De Lathauwer - KU Leuven
His research concerns the development of tensor tools for mathematical engineering. It centres on the following axes: algebraic foundations, numerical algorithms, generic methods for signal processing and data analysis, and specific applications.
Luc De Raedt - KU Leuven
His research interests are in Artificial Intelligence and Machine Learning as well as their applications. He is working on the next generation of programming languages, that is, probabilistic programming languages that have built-in abilities for learning from data, on combining probabilistic and logical reasoning, the automation of (data) science, automatically answering exam questions about mathematics, and verifying learning artificial intelligence systems and robotics. He received a prestigious Advanced Grant from the European Research Council in 2016, he is on the editorial board of key journals such as Artificial Intelligence and Machine Learning, and he has chaired important conferences such as the European Conference on AI (ECAI 12) and the International Conference on Machine learning (ICML 2005). He is a fellow of the European Association for AI.
Maja Nisevic - KU Leuven
Nisevic has recently finished her PhD studies at the University of Verona, and she expects the final defence of her PhD thesis. Her thesis mainly focuses on the topic: Profiling consumers through Big Data Analytics: The interplay between the GDPR and Unfair Commercial Practices Directive. Besides PhD studies at the University of Verona, she is doing her second PhD at the University of Vienna. Her research focus is on privacy and data protection, consumer protection and technology. Before joining KU Leuven, she worked as Maria Skłodowska Curie Researcher at the University of Verona, Assistant Attorney General in Bosnia and Herzegovina, and as a lawyer in domestic and foreign law firms.
Monique Snoeck - KU Leuven
Her research interests are in Learning Analytics, and in particular in analyzing the impact of technology enhanced learning on learning outcomes and student's self-regulation.
Previous research in the domain of conceptual modeling has resulted in the Enterprise Information Systems Engineering approach MERODE, and its companion e-learning and prototyping tools MERLIN and JMermaid. In the domains of smart learning environments and technology enhanced learning, process mining techniques and modelling tool logs are used to extract insights on how people create models, with the aim of intelligent feedback provisioning. In the general domain of technology enhanced learning, she focuses on learning analytics with the aim of defining features predictive for learner success and learner engagement, and studying the impact of interventions on student's self-regulation. Besides the domain of learning analytics, she was previously involved in social network analytics for fraud prediction and is currently chair holder of the ING research chair on Applying deep learning on meta-data as a competitive accelerator
Noémie Krack - KU Leuven
Noémie Krack holds an LL.M. in IP & ICT Law cum laude from the KU Leuven and a Master in law cum laude with a specialization in European Law from the Université Catholique de Louvain. During her law studies, she participated in an Erasmus exchange with the Università di Bologna where she focused on EU competition and internal market law. Since completing her Master’s degree, she undertook several traineeships which gave her the opportunity to work for the Permanent Representation of Belgium to the EU, the European Commission’s Legal Service and an EU Public Affairs consultancy. She started at CiTiP in August 2020 as a legal researcher and currently focuses on media law, artificial intelligence, data protection and the challenges that technology raises for fundamental rights.
Peggy Valcke - KU Leuven
Peggy Valcke is professor of law & technology at KU Leuven and vice dean for research at the Leuven Faculty of Law & Criminology. Peggy has a broad experience with international and interdisciplinary research - both fundamental and applied - dealing with legal aspects of IT and media innovation. Her research has been funded by the European Commission (FP7, Horizon2020, MSCA, SMART), KU Leuven-BOF, FWO-Vlaanderen, iMinds/imec, Belgian and regional authorities, and regulatory bodies.
Philip Joris - KU Leuven
His research interests are in Artificial Intelligence, with a strong focus on computer vision. His most recent research involves the application of AI in various fields of forensics with the aim of supporting forensic experts during criminal investigations. He is the inventor of HemoVision, a software package that automates the analysis of bloodstain impact patterns.
Philippe Meire - KU Leuven
Philippe Meire is the founder of March, a proptech start-up with the ambition to facilitate and automate the matching process between supply and demand in business real estate.
Pier Luigi Martelli - University of Bologna
He is a professor at the International Bologna Master Course in Bioinformatics. His research activity focuses onthe development of systems based on Neural Networks, Hidden Markov Models and Support Vector Machines for the prediction of functional and structural features in proteins. In particular he developed systems for the prediction of the secondary structure of proteins, of the topology and topography of membrane proteins (both from inner and outer membranes), of the bonding state of cysteines, of the subcellular localization. Moreover he studied and simulated the protein folding process, he modelled the structure of different proteins, integrating computational and experimental information, he analysed the interaction between proteins and ligands by means of docking procedures and molecular dynamics simulations.
Pierre Dewitte - KU leuven
Pierre Dewitte obtained his Bachelor and Master degree of Laws with a specialization in Corporate and Intellectual Property law from the Université Catholique de Louvain in 2016 (magna cum laude). As part of his Master program, he spent six month in the University of Helsinki where he strengthened his knowledge in European law. In 2017, he completed the advanced Master of Intellectual Property and ICT law at the KU Leuven with a special focus on privacy, data protection and electronic communications law (magna cum laude). Pierre joined the KU Leuven Centre for IT & IP in October 2017 where he conducts interdisciplinary research on privacy engineering, smart cities and algorithmic transparency. Among other initiatives, his main research track seeks to bridge the gap between software engineering practices and data protection regulations by creating a common conceptual framework for both disciplines and providing decision and trade-off support for technical and organizational mitigation strategies in the software development life-cycle.
Piotr Białas - Jagiellonian University
Siri Willems - KU Leuven
She graduated as a biomedical engineer and subsequently started a PhD at the department of electrical engineering at KU Leuven (Belgium) in the processing speech and images group. Her research focuses on learning-based computational strategies for image guided radiotherapy and therefore works closely together with the department of radiotherapy at UZ Leuven.
Szymon Bobek - Jagiellonian University
Thomas Gils - KU Leuven
Thomas Gils studied law and philosophy at the KU Leuven. During the first year of his master, he spent a full year at the Università di Bologna, focusing on European law. During his final year of his master, he obtained a bachelor of philosophy (cum laude), focusing on ethics and political philosophy. In his master thesis he studied how various legal frameworks would deal with patent infringement through consumer 3D-printing. He then obtained an LL.M in IP/IT law (cum laude) at the KU Leuven in 2017. In his LL.M-thesis he analyzed how blockchain technology would be treated under directive 96/9/EC on the legal protection of databases. He joined CiTiP as a researcher on the ethical and legal aspects of AI within the Flemish Centre for Data & Society in October 2019.
Thomas Marquenie - KU Leuven
Thomas Marquenie obtained his Master’s degree of Laws from the University of Leuven in 2015, specializing in Criminal, International and European Law. In 2016, he obtained an Advanced Master’s (LLM) in Intellectual Property Rights & ICT Law at the University of Leuven (Campus Brussels). At CiTiP, Thomas is working on the European Commission’s VALCRI Project, which seeks to create a Visual Analytics-based sense-making capability for criminal intelligence analysis by developing and integrating a number of technologies into a coherent working environment. In continuation of his Master’s dissertation, he currently focuses on the project’s implementation in the Belgian legal framework and the consequences of the recently adopted European Directive on the protection of personal data by criminal justice and police authorities. This research received support from the Cybersecurity Initiative Flanders – Strategic Research Program (CIF).