Degree Courses

Ana is a data platform engineer and educator, combining real-world experience in streaming, cloud, and pipelines with a passion for teaching graph databases and scalable systems in applied AI contexts.

Nadiya Shvai bridges research and industry with expertise in computer vision, deep learning, and optimisation. She brings 6+ years of applied AI experience, academic insight, and a strong focus on automating complex, time-intensive processes.

David Worms brings nearly two decades of experience in architecting large-scale data platforms. As founder of Adaltas, he leads expert teams across Big Data, DevOps, and MLOps, merging hands-on engineering with a passion for mentorship and open-source ecosystems.

Thierry Vert combines 10 years of teaching with deep industry experience in embedded systems, software development, and IT project management. He brings practical insight into operating systems, networks, and sustainable tech practices shaped by roles at Schneider, Thales, and Amadeus.Read More

Didier Auroux leads the M.Sc in Applied Mathematics and Financial Analysis. With 15+ years in academia, he specializes in optimization, inverse problems, and statistics—bridging advanced math with real-world data science applications.

Experienced academic in strategic IT alignment, business analytics, and process optimization; holds a Ph.D. in Business Administration with an information systems focus and publishes in management and analytics journals.

Expert in business analytics, data mining, and enterprise systems whose research focuses on digital transformation and applying AI to business decision-making.

Research and teaching focus on social media analytics, text analytics, and large-scale data methods — bridging analytics with decision science in applied settings.

Focuses on econometrics, applied statistics, and social media and text analytics; teaches and researches forecasting and applied quantitative models for business.

Prof. Aladdin Ayesh brings three decades of AI leadership, pioneering work in computational cognition and cyber-physical systems, and a global track record of mentoring PhDs and deploying real-world AI solutions.

Dr. Ruta Binkyte-Sadauskiene blends technical depth in machine learning fairness with a social science lens, bridging ethics and AI through research at École Polytechnique and real-world experience across Europe.

Dr. Bilel Benbouzid teaches AI Ethics with a sociological lens, guiding students to critically examine algorithmic systems, predictive policing, and the broader social impact of AI in real-world contexts.

Dr. Virginie Mathivet blends academic depth with real-world AI leadership. As faculty, she brings expertise in deep learning, neural networks, and genetic algorithms, grounded in years of teaching and hands-on R&D.

Dr Yang Jiao is Lead Data Scientist at Coface and expert faculty at Aivancity. With a PhD in AI, he’s led data science projects across retail, finance, and consulting sectors.