About the Authors

Franck Bardol is an AI professor, senior consultant, and expert advisor in generative AI and machine learning with over two decades of experience in the intersection of quantitative finance, applied research, and data science. He began his career as a quantitative analyst for hedge funds and proprietary trading desks, where he developed algorithmic trading strategies and predictive models across asset classes. He later expanded his work into industrial and service sectors, applying machine learning to problems in fraud detection, maintenance optimization, customer experience, computer vision and detection of toxic emissions from a factory.

Franck has collaborated with organizations such as Axa, CA-CIB, Equalt alternative, Finaltis Hedge fund, Bouygues, Allianz, Orange Telecom Guinée, LVMH, Banque de France, ITER nuclear fusion project, General Electrics and Airbus. He has also contributed to public policy and ethics through his roles as an independent expert for the European Commission and the French AI Villani Commission.

As an educator, he has designed and delivered AI programs for institutions including the University of Geneva, ISEP, ESME Sudria, and Microsoft AI Campus. His teaching covers supervised and unsupervised learning, generative AI, and data-driven strategy, with a focus on real-world application. He is also a LinkedIn Learning instructor in data science and data marketing, having trained over 50,000 learners through his MOOC courses on the platform. He has delivered keynotes at major events such as Swiss IT Forum, Salon du Trading, and the CEPIC Conference, where he spoke alongside leading international press agencies including AFP, Associated Press, and Xinhua.

Franck holds MSc degrees in artificial intelligence, quantitative modeling, and financial markets, along with a certificate in philosophical ethics. He is the founder of the Paris Machine Learning Meetup, a leading European community of over 8,500 AI professionals and experts.