ICMA Team

The ICMA was founded by marketing professors at the IÉSEG School of Management.
Currently, ICMA has 8 members (permanent professors and Ph.D. students). Moreover, the ICMA can rely upon a strong network of corporate and academic partners.

Dr. Kristof Coussement

Kristof Coussement, PhD.

Professor of Marketing at IÉSEG School of Management (LEM-CNRS)
Ph.D. in Applied Economics

Dr. Coussement teaches several marketing related courses including Strategic Marketing Research, Customer Relationship Management and Database Marketing in which students are taught the theoretical principles of all aspects in marketing research, operational and analytical CRM and the methodological foundations of predictive marketing modelling.

Dr. Coussement is publishing in international peer-reviewed journals like Computational Statistics & Data Analysis, Decision Support Systems, European Journal of Operational Research, Information & Management, Expert Systems with Applications, among others. Moreover, his works has been presented on various conferences around the world. His main research interests are all aspects in customer intelligence, B-to-B intelligence, direct marketing and analytical CRM. Improving his ‘practical’ experience over the years by doing several real-life research projects in a different number of industries, his main focus lies on doing profound academic research with a high-added value to business.

Dr. Coussement is founder and committee member of BAQMaR, i.e. the largest online European Association for Quantitative & Qualitative Marketing Research.

Dr. Stefano Nasini

Stefano Nasini, PhD

Associate Professor of Data Driven Marketing at IÉSEG School of Management (Lille/Paris, France)
PhD in Statistics and Operations Research

Stefano Nasini is a statistician working in the field of Networks Optimization, Microeconomics Modeling and Quantitative Marketing. He holds a Master’s Degree in Statistics from the Polytechnic University of Catalonia (Barcelona, Spain) and a Ph.D. in Statistics from the Polytechnic University of Catalonia (Barcelona, Spain). He has been visiting scholar at the Department of Statistics and Operations Research of the University of Lisbon (Portugal). During the two years following his PhD dissertation, he has been working as post-doctoral researcher at the Department of Operations Management of IESE Business School (Barcelona, Spain). He is currently Associate Professor of Data Driven Marketing at IÉSEG School of Management (Lille/Paris, France).

Dr. Nathalie Demoulin

Nathalie Demoulin, PhD.

Professor of Marketing and Academic Director of the Retail Management and Business Development track at IÉSEG School of Management (LEM-CNRS)
Ph.D. in Management sciences

Nathalie Demoulin (Ph.D.) is Professor of Marketing and the Academic Director of the Retail Management and Business Development track at IÉSEG School of Management (LEM-CNRS) of the Catholic University of Lille in France. Dr. Demoulin teaches several courses related to marketing strategy such as Marketing strategy and Company Observation, Retail Marketing Strategy and Markstrat: a Marketing Strategy Simulation. Dr. Demoulin’s primary research interests were the marketing managers’ decision making process and the impact of marketing decision support systems on managers. She currently conducts research linked to customers’ loyalty, waiting time and sensorial marketing in service and retailing sectors. She published in international and French peer-reviewed journals such as Decision Support Systems, Journal of Retailing, Journal of Retailing and Consumer Services and Systèmes d’information et Management.

Yvon Moysan

Yvon Moysan

Lecturer in Digital Marketing at IÉSEG School of Management (LEM-CNRS) and CEO at Saint Germain Consulting
Master in Management at Harvard University

Yvon Moysan is a Lecturer in Digital Marketing at IÉSEG School of Management. Yvon teaches several Digital Marketing related courses including Digital Marketing Strategy, Multichannel Marketing Strategy, e-CRM or Innovation through Social Media both with IÉSEG Master Degree students and executive education program participants.

He is also CEO at Saint Germain Consulting, a consulting company in Digital Marketing with an expertise in the banking and insurance industries.

Yvon MOYSAN started his professional career in 2000 as e Business Product Manager at BNP PARIBAS-BANQUE Directe, he then joined HSBC France in 2003 as Commercial Banking e Business Senior Manager. He was there France representative in the Global e-business HSBC entity. He was also selected to participate to the HSBC young Talents program. In 2009 he joined AXA worldwide headquarter to lead the Multi-Channel worldwide project. He designed there a new business model for AXA based on a digital and physical channels mix in 11 countries in Europe and supervised the implementation in Europe, Asia and North America. In 2011 he joined CSA Consulting to lead the Customer experience and Digital strategy business unit, he was leading there several projects including the definition of the social media strategy for BPCE Group.

Yvon is also publishing in several practice oriented journals like Revue Banque and Banque et Stratégie. He is also frequently interviewed and quoted in the press like La Revue du Digital, Atlantico, Banque Hebdo, L’Agefi etc. He is also a public speaker and he participated to various international professional conferences like In Banque, EFMA, Mobile Shopping Europe, etc.

Matthijs Meire, PhD.

Assistant Professor of Marketing Analytics at IÉSEG School of Management (LEM-CNRS)
PhD in Applied Economics

Dr. Meire teaches several courses in the advanced MSc in Big Data Analytics program, including Business Reporting Tools, Open Source programming and Social Media Analytics. Furthermore, he teaches courses at both the bachelor and master level of the Grande Ecole program. His courses mainly relate to business analytics, social media analytics and customer service.

He has published in leading international peer-reviewed journals related to marketing (Journal of Marketing) and information systems (Decision Support Systems) and has presented on various international conferences. Likewise, his research focuses on the intersect of marketing analytics, marketing modeling and information systems, with special research interest in the business value of social media, the dynamics of user generated content and analytical CRM.

Arno De Caigny

Assistant Professor in Marketing

Dr. De Caigny’s research focusses on customer scoring, customer retention, machine learning, big data applications, analytical CRM and predictive modeling. He is publishing in international peer-reviewed journals such as European Journal of Operational Research, Decision Support Systems and International Journal of Forecasting. Moreover, his works have been presented on various conferences around the world. He works in close collaboration with industry by applying his research on real-world business challenges. He has several years of experience in analytical consulting in the financial services and auditing industries.

Dr. De Caigny teaches several marketing related courses to undergraduates and graduates. In his courses, students are taught the theoretical principles of all aspects of market research, business analytics skills and methodological foundations of predictive modeling.

Minh-Phan

Minh Phan

PhD Candidate in Learning Analytics

Minh PHAN is a PhD candidate at IÉSEG School of Management (LEM-CNRS) of the Catholic University of Lille, France. His thesis topic is about Learning Analytics. Minh is working on the educational data of IÉSEG and other online learning platform providers in order to help improving the learning and teaching experience.

Minh has two years of experience in Financial and Consulting industry in Vietnam (KPMG, Vietta) and one year in startup (Ket). He obtained the Master of Science degree in IÉSEG in Big Data Analytics. Currently, he also involves in teaching four courses in the Big Data and E-commerce master program in IÉSEG.

Minh is young and passionate in data science, machine learning, teaching activities and learning analytics topic.