The faculty at DSTI School of Engineering are distinguished individuals with vast experience in teaching and industry. These accomplished professionals have solid theoretical backgrounds and are keen to share their expertise gained from diverse locations around the world. Their extensive knowledge and practical experience make them an asset not only within the classroom but also beyond it.
Professor, Vice Dean
Hanna Abi Akl is a scientist, author, and researcher in language, logic, and artificial intelligence, with expertise in language structure, understanding and generation, as well as symbolic and graph-based knowledge retrieval methods in AI. He currently serves as an NLP Researcher and Professor at Data ScienceTech Institute.
Subjects Taught
Professor
Didier Auroux is a highly accomplished professor in Applied Mathematics, currently serving as the director of the Master of Science program in applied mathematics and computer science for financial analysis at Université Côte d’Azur and also a member of the CASTOR Inria team in Sophia Antipolis. He has previously held positions as the deputy director of the mathematics lab (Laboratoire J.A. Dieudonné) and director of the Applied Mathematics and Modelling department at Polytech.
Subjects Taught
Professor
Estelle Auberix is a Solutions Architect, Microsoft Regional Director & Azure MVP at IOKELA. With a strong consultancy background, she is also the Practice Manager at Umanis, specializing in Cloud, Edge, Cybersecurity, IoT, and Robotics. She is a speaker at Identity Days, focusing on identity management in Web3 projects.
Subjects Taught
Professor
Martin Van Waerebeke is a PhD candidate at INRIA Paris, specializing in Federated Machine Unlearning. His previous roles include working on AI for biomedical research at LIVIA in Montréal and serving as a data scientist at Saint-Gobain, the Ministère des Armées, and Taptrove Ventures. He also has experience as a mathematics examiner for engineering preparatory classes. He holds an Engineer’s degree in Mathematics and Data Analysis from CentraleSupélec and a Master’s degree in AI (MVA Masters) from Ecole Normale Supérieure Paris-Saclay.
Subjects Taught
Adjunct Professor
Dr Georgiy Bobashev is an accomplished data scientist and biostatistician who currently holds positions as an Adjunct Professor at North Carolina State University, an RTI Fellow and Senior Data Scientist at RTI International, an Adjunct Faculty member at University College Dublin, and an Adjunct Associate Professor at the University of North Carolina at Chapel Hill, having previously completed a PostDoc in Biostatistics & Epidemiology at The John Hopkins University in the USA.
Subjects Taught
Professor, Industry Member
Grégoire de Lassence is a SAS expert who delivers high-quality SAS training, interventions, courses, tutorials, conferences, and seminars for more than 100 days a year in various universities and grandes écoles across France and internationally.
Subjects Taught
CEO and Professor
Sébastien Corniglion is the Co-Founder and CEO of DSTI and has a background as an Information System Engineer & PhD student at SICTIAM in Sophia-Antipolis, as well as an MBA and MSc in Computer Science from the University of Edinburgh. His diverse academic and professional experience has helped shape his leadership in the field of data science and technology.
Subjects Taught
Professor, Co-president of the Scientific Board
Christine Malot is a Statistics Lecturer at the Jean-Alexandre Dieudonné Maths Labs and an elected Director at Université Nice Sophia-Antipolis, also serving as a member and deputy treasurer of the Société Française de Statistiques.
Subjects Taught
Professor
Jean-François Derenty is a senior consultant and expert in SAS, decision-making, and metrology, with experience in teaching SAS and statistics in universities and grandes écoles, and over 25 years of experience in Natixis Corporate & Investment Banking as a team leader and statistical pilot project manager.
Subjects Taught
Professor
Ana Escobar is a distinguished Data Engineer with extensive experience in cloud computing, data platform development, and project management. Her expertise encompasses a range of technologies including AWS, Terraform, and Apache Kafka. Ana’s passion for teaching complements her technical skills, enriching the learning experience at DSTI.
Subjects Taught
Professor
Dr. Catherine Faron is a respected full professor at Université Côte d’Azur. She holds the position of vice-head of Wimmics, a collaborative research team between the I3S laboratory and the Inria centre.
Subjects Taught
Professor
Nelson Lopez is a highly educated and responsible Data Analyst at PRGX Global Inc. with experience in improving others’ comprehension of reports and presentations, possessing a Bachelor’s, a Master’s, and professional certifications in various tools essential for his role.
Subjects Taught
Professor, Co-president of the Scientific Board
Fabien Gandon, a Senior Researcher at INRIA and I3S Sophia Antipolis in France, specializes in Semantic Web, Ontologies, Knowledge Engineering and Modelling, Corporate Memories, and other areas in the field of informatics and computer science.
Subjects Taught
Professor
Julien Jacques is a current Professor in Statistics at Université Lumière Lyon 2, with previous lecturing experience at Université de Lille, and a PhD in Statistics from Université Grenoble Alpes.
Subjects Taught
Professor
Dominique Mariko is the current Lead Data Scientist at Yseop in Paris and has previously held roles as the DSTI Direction of Studies, Project Specialist at Saipem in Paris, and Project Lead at Publications Puce & Plume in Paris.
Subjects Taught
Professor
Fabien Massol, Head of Business Development Security at Amadeus IT Group, possesses a wealth of experience and expertise in the field of security and Project Management.
Subjects Taught
Professor
David Medio is a marine environmental scientist with three decades of experience specializing in coastal zone management, marine policy, and biodiversity conservation. He’s worked internationally, notably in the Middle East and Africa, advising on various environmental projects. Currently, he lectures at the University of York and has a PhD in Marine Resource Management.
Subjects Taught
Professor
Stéphane Mollard is a Program Manager and Head of R&D Project Management at Amadeus in Sophia-Antipolis, with a Master of Science in Databases & Systems Integration from SKEMA Business School.
Subjects Taught
Professor
Pierre Mounier-Kuhn, computing historian, investigates innovation, research, higher education, and policy. Affiliated with the Software for Europe program, he has enriched the cultural history of AI and teaches computing history at CentraleSupélec. His notable works discuss the evolution of computing in France and fluid mechanics history.
Subjects Taught
Professor
Dr. Robert Plana has contributed extensively to R&D and digital transformation with over 30 years in the field, starting as a professor at Paul Sabatier University. His expertise in Internet of Things technologies has positioned him as a leader in academic and technological advancements in IoT.
Subjects Taught
Professor
Yannick Ramond has a wealth of professional experience, having worked as an independent management consultant since 2019, as well as serving as the CFO for Fiducial US from 2008 to 2016 and an Audit Manager at PwC Audit France from 2002 to 2008.
Subjects Taught
Professor
Luca Sainte-Croix, with over seven years in development and four in Data Science and Data Engineering, combines technical expertise in Python, SQL, AWS, and Google Cloud with a passion for Artificial Intelligence. An experienced trainer and dedicated environmental advocate, he excels in merging Data Science demands with Data Engineering needs.
Subjects Taught
Professor
Dr Anna Sterrantino is an Honorary Research Associate at the Department of Epidemiology and Biostatistics, and part of the MRC Centre for Environment and Health, with research interests in developing Bayesian methods and Latent Gaussian Markov Random Fields for improved small-area analysis in environmental epidemiological studies.
Subjects Taught
Professor
Marina Teller is a Director of the Chair of Scientific Excellence in Economic Law & AI DL4T and a Professor in Private Law, Law & AI at GREDEG-CNRA, both positions held at Université Côte d’Azur.
Subjects Taught
Professor
Thierry Vert boasts a diverse professional background with nine years of teaching mathematics and computer science in secondary and higher education. His experience extends to seven years in customer support, functional analysis, and project management with companies like Schneider Electric, Thales Service, and Amadeus. Additionally, he has spent six years in software development and testing.
Subjects Taught
Professor
Valeriya Strizhkova is teaching ‘Deep Learning for Computer Vision’, ‘Basic Algebra for Data Analysis’ at Université Côte d’Azur & 3iA, France. She also teach ‘Introduction to Machine Learning’ at Centrale Marseille – Digital lab, France Research and Development Manager at Texel, Russia Research Engineer @ VisionLabs, Russia.
Data Scientist at VEON, Russia
Subjects Taught
Professor
Senior Data Scientist at Cyclope.ai, Paris Assistant Professor at National University of Kyiv-Moyla Academy, Kiev Ukraine. Previous Data Science Intern at AXA Data Innovation Lab, Paris DSTI Graduate Applied MSc in Data Science & AI Autumn 2016 cohort
Phd in Mathematics, Algebra & Number Theory at Kyiv National Taras Shevchenko University.
Subjects Taught
Professor, DSTI partner
David Worms is the CEO and founder of Adaltas, a company specializing in big data and Hadoop consulting services, with over 19 years of experience in the industry, working on a variety of technology projects.
Subjects Taught
Professor
Clement Ziane is the Co-Founder of Aizca and has previously worked as a Research Engineer at Amaris in Sophia Antipolis, a Web Engineer at HindSite Interactive in Washington DC, USA, and a Web Software Engineer at Spheris Digital in Beijing City, China.
Subjects Taught
Academic Member, Professor
Jacques Blum is a Professor Emeritus at the University of Nice and has previously held positions as a professor at the University Joseph Fourier Grenoble and a researcher at CNRS, and he is an Agrégé in Mathematics from the Ecole normale supérieure.
Subjects Taught
Professor
Edouard Machover, an Ecole Centrale Paris engineer with a PhD from Cambridge, has expertise in combustion research and fluid mechanics. He has developed and managed AI and computer vision products for the transportation and geospatial industries, seeking challenges in applied AI.
Subjects Taught
Professor
Data Scientist & PhD student at URBS, St Etienne. Previous Professor Agrégé in Mathematic. Previous Lifelong Learning Advisor at GRETA Guyane Centre-Est. Master’s in Maths, Epistemology, History & Sociology of Sciences & Technologies at Paris VII University. Master of Sciences in Applied Mathematics, University of Toronto, Canada. Engineer at Ecole Centrale des Arts & Manufactures, Paris.
DSTI Graduate Applied MSc in Data Science & AI Autumn 2019 SPOC cohort
Subjects Taught
Professor
Jannic Alexander Cutura is an economist turned data engineer at the European Central Bank, specializing in supervisory technologies and data. With a background in financial stability and monetary policy, he holds an MSc and PhD in quantitative economics from Goethe University and a Master’s in data engineering from DSTI School of Engineering. He has held research positions at Columbia University, the IMF, and the Bank for International Settlements. His work focuses on developing scalable data processing solutions to empower regulators and enhance regulatory oversight through innovative regtech tools.
Subjects Taught
DSTI – School of Engineering
Private Higher Education Institution
As a front-runner in data and AI in France, DSTI School of Engineering offers an Applied Bachelor at RNCP 6. Our Applied MSc hold RNCP 7 accreditation. Further, DSTI is recognised under the 3IA Cote d’Azur Label for extensive AI content and proudly possesses Qualiopi RNQ certification, affirming quality of processes (download Qualiopi certificate).
DSTI School of Engineering has formed strategic partnerships and affiliations with a number of key organisations, including the likes of AWS, SAS, Microsoft, Arts et Métiers, and 3IA Côte d’Azur. These partnerships are vital because they help keep our syllabus current and our resources updated. With these partners, we are better equipped to support our students as they advance their careers in data.
950 Route des Colles
Les Templiers
06410 Biot (Sophia Antipolis)
Alpes-Maritimes, France
4 Rue de la Collégiale
75005 Paris
Île-de-France, France
+33 (0) 489 412 944
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