STOURM Ludovic

Full Professor of Digital Marketing

Division : Marketing, Management and Strategy

Ludovic Stourm is a Full Professor of Digital Marketing at Institut Mines-Télécom Business School. He holds a Ph.D. in Marketing and an M.S. in Marketing from the Wharton School of the University of Pennsylvania, as well as an M.A. in Statistics from Harvard University. He also graduated as an engineer in Computer Science with a specialization in Machine Learning from the Université de Technologie de Compiègne (UTC). Before joining IMT-BS, he was an Assistant Professor of Marketing at HEC Paris (2016–2025), where he taught marketing, data science, and marketing science. His research focuses on the digital economy, platforms, the sharing economy, and innovation diffusion. He has published in leading journals such as Marketing Science and the Journal of Marketing Research. Recipient of the Bruno Roux de Bézieux Award for pedagogical innovation, he has been active in interdisciplinary initiatives on data and platforms. His academic career is complemented by international collaborations and industry experience at Apple and In4mation Insights

Education

Diploma

Ph.D. in Marketing

Institution

The Wharton School

Location

University of Pennsylvania, Philadelphia (USA)

Date

2016

Diploma

M.S. in Marketing

Institution

The Wharton School

Location

University of Pennsylvania, Philadelphia (USA)

Date

2016

Diploma

M.A. in Statistics

Institution

Harvard University

Location

Cambridge (USA)

Date

2011

Diploma

Engineering Degree in Computer Science (specialization in Machine Learning)

Institution

Université de Technologie de Compiègne

Location

Compiègne (France)

Date

2010

Area of ​​expertise

Area of ​​expertise

Digital Marketing – expertise in strategies and teaching of digital marketing.

Marketing Data Analysis – Bayesian modeling, programming, and empirical methods.

Platform Economics – research on the sharing economy and innovation diffusion.

Machine Learning & Advanced Statistics – training and application in academic and industry contexts.

Demand & Consumer Behavior Modeling – publications in Marketing Science and Journal of Marketing Research.

Teaching & Pedagogical Innovation – Bruno Roux de Bézieux Award for educational initiative.

Computer Programming – Python, R, Julia, MATLAB, SQL, C/C++, etc.

Geospatial Data Processing & Visualization – expertise in spatial demand modeling.

Academic & Interdisciplinary Project Management – coordination of labs and scientific events.

International & Multilingual Experience – academic collaborations, industry work (Apple, In4mation Insights), proficiency in several languages.

Languages

Professional exp

Job title

Full Professor of Digital Marketing

Company Name

Institut Mines-Télécom Business School

Place

Évry-Courcouronnes (France)

Date

2025

Job title

Assistant Professor of Marketing

Company Name

HEC Paris

Place

Jouy-en-Josas (France)

Date

2016 – 2025

Job title

Associate Director, Marketing Science

Company Name

In4mation Insights

Place

Needham (USA)

Date

2011 – 2012

Job title

Intern, Localization and Release Engineering

Company Name

Apple Inc.

Place

Cupertino (USA)

Date

2008-2010

Science dissemination

Activity

Publications
Articles in top-tier journals (Marketing Science, Journal of Marketing Research).
Research on spatial demand, network effects, and complementary goods consumption.
Several working papers and ongoing projects on the sharing economy and platforms.

Conferences & Presentations
Regular speaker at international conferences (Marketing Science Conference, Marketing Dynamics Conference).
Presentations at prestigious academic institutions (INSEAD, ESSEC, HEC, University of Maryland).

Awards & Grants
Bruno Roux de Bézieux Award (HEC Foundation, 2021).
Research grants (HEC Foundation, LABEX Ecodec, Wharton Customer Analytics Initiative).
Fellowships (Winkelman, Baker Retail Center, Jean Gaillard Memorial Fellowship).

Teaching & Institutional Activities
Teaching across Master’s and PhD levels (marketing, data science, marketing science).
Organizer of academic events (HEC Big Data Day).
Participation in PhD juries and hackathons.

Scientific Engagement & Networks
Reviewer for Marketing Science and Recherche et Applications en Marketing.
Member of scientific committees (e.g., Workshop on Platform Analytics, 2023).
Affiliations: American Marketing Association, INFORMS.

Outreach & Media
Columnist for Knowledge@HEC.
Media appearances (France 24, HEC Foundation).

Publications Hal (IMT-BS)

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