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Faculty

Applied Sciences

Antonio Fabio di Narzo, PhD

Antonio Fabio di Narzo, PhD

Biostatistician and Bioinformatics Consultant

Classes taught at DSTI:
- Foundations of Statistical Analysis and Machine Learning Part 1
- Survival Analysis Using R

Christine Malot, PhD

Christine Malot, PhD

Associate Professor of Mathematics Senior Lecturer - Université Côte d’Azur

Classes taught at DSTI:
- Foundations of Statistical Analysis and Machine Learning Part 2
- Advanced Statistical Analysis and Machine Learning

Fabien Gandon, PhD

Fabien Gandon, PhD

Research Director and Deputy Scientific
Delegate of INRIA Sophia-Antipolis
3IA Chair "Core elements of AI"

Class taught at DSTI:
- Semantic Web technologies

Grégoire de Lassence

Grégoire de Lassence

Head of Education & Research - SAS

Class taught at DSTI:
- Data & Machine Learning Visualisation Ecosystem

Jean-François Derenty

Jean-François Derenty

Senior Expert Consultant in SAS

Class taught at DSTI:
SAS "The SAS Ecosystem DSTI Chair"

Pr Lionel Fillatre

Pr Lionel Fillatre

Professor - Université Côte d’Azur

Class taught at DSTI:
- Deep Learning

Yassine El Khattabi

Yassine El Khattabi

Machine Learning Engineer - Scortex

Class taught at DSTI:
- Python Machine Learning Labs

Vera Damerjian, PhD

Vera Damerjian, PhD

Computer Vision and Artificial Intelligence Specialist in Robotic Surgery - Caranx Medical, Nice

Class taught at DSTI:
- Artificial Neural Networks

Pr Charles Bouveyron

Pr Charles Bouveyron

Professor at Université Côte d'Azur,
INRIA Chair of Excellence in Data Science & Director of the 3IA Côte d'Azur Institute,
3IA Chair "Core elements of AI"

Classes taught at DSTI:
- Statistical Analysis of Massive and High Dimensional Data
- Big Data Processing with R

Pr Didier Auroux

Pr Didier Auroux

Associate Professor of Mathematics
Professor - University of Côte d’Azur

Classes taught at DSTI:
- Applied Mathematics
- Continuous Optimisation
- Inverse Problems & Data Assimiliation
- Foundations of Statistics & Machine Learning
- Advanced Statistics & Machine Learning

Georgiy Bobashev, PhD

Georgiy Bobashev, PhD

Fellow Data Science

Class taught at DSTI:
- Agent-Based Modelling

Jacques Blum

Jacques Blum

Emeritus Professor of Mathematics - Université Côte d’Azur

Classes taught at DSTI:
- Continuous Optimisation
- Inverse Problems & Data Assimiliation
- Applied Mathematics

Pr Julien Jacques

Pr Julien Jacques

Professor in Statistics - Lumière Lyon 2 University

Classes taught at DSTI:
- Time-Series Analysis
- Advanced Statistics & Machine Learning

Pr Marina Teller

Pr Marina Teller

Director of the Chair of Scientific Excellence in Economic Law & AI DL4T @ Université Côte d’Azur,
Professor in Private Law, Law & AI @ GREDEG-CNRA, Université Côte d’Azur

Class taught at DSTI:
- Data Laws & Regulations, Philosophies, Geopolitics & Ethics

Petra Kaferle Devisschere

Petra Kaferle Devisschere

Data Scientist & Data Engineer - Adaltas, Paris

Class taught at DSTI:
- The Hadoop Ecosystem

Computer Science

Assan Sanogo

Assan Sanogo

Data Scientist - Datajam.ai

Classes taught at DSTI:
- Python Machine Learning Labs
- Amazon AWS “Cloud-Computing DSTI Chair”

Catherine Faron, PhD

Catherine Faron, PhD

Associate Professor - Université Côte d’Azur

Classes taught at DSTI:
- Semantic Web technologies
- Data Pipeline Part 1

David Worms

David Worms

Founder & CEO - Adaltas

Classes taught at DSTI:
- The Hadoop Ecosystem
- DevOps & Continuous Integration

Emerick Duval

Emerick Duval

Business Intelligence Consultant - Freelance

Classes taught at DSTI:
- Data Wrangling with SQL
- Datawarehousing & ETL
- Reporting & Visualisation

Jean-Luc Canela

Jean-Luc Canela

Technology Lead - AXA

Class taught at DSTI:
- Data Pipeline Part 2

Sébastien Corniglion

Sébastien Corniglion

Co-founder & CEO - DSTI
Data Engineer

Classes taught at DSTI:
- DSTI Warm Up
- Software Engineering
- CRM Data Management

Gauthier Leonard

Gauthier Leonard

Big Data Solutions Architect, Data Engineer - Adaltas

Class taught at DSTI:
- The Hadoop Ecosystem

Xavier Hermand

Xavier Hermand

Big Data Consultant - Adaltas, Paris

Class taught at DSTI:
- The Hadoop Ecosystem

Pr Bénédicte Le Grand

Pr Bénédicte Le Grand

Professor - Université Paris 1 Panthéon -Sorbonne

Class taught at DSTI:
- Cybersecurity

Clément Ziane

Clément Ziane

Software Engineer

Classes taught at DSTI:
- DSTI Warm Up
- Software Engineering Part 1
- Java & Scala programming
- Cloud Computing - Microsoft Azure
- Document Databases : NoSQL Part 2

Dominique Mariko

Dominique Mariko

Lead Data Scientist - Yseop

Classes taught by DSTI:
- DSTI Warm Up
- Advanced Excel for Data Analytics & Machine Learning

Fabien Massol

Fabien Massol

Head of SGB Security - Amadeus IT

Class taught at DSTI:
- IT Project Management: PMP-PMI and Agile Approaches

Jérôme Baton

Jérôme Baton

Software Developer & Architect

Class taught at DSTI:
- Graph Databases with NoSQL

Stéphane Mollard

Stéphane Mollard

Head of R&D Project Management for Strategic Growth Business - Amadeus IT

Class taught at DSTI:
- IT Project Management: PMP-PMI and Agile Approaches

Badr Tajini

Badr Tajini

Previous Machine Learning Engineer Short-term in Neuroimaging - INRIA Saclay - CEA NeuroSpin, Université Paris-Saclay

Classes taught at DSTI:
- Careers Seminar
- Project support advisor

Sergei Kudinov

Sergei Kudinov

Full Stack Web Developer - Adaltas, Paris

Class taught at DSTI:
- DevOps & Continuous Integration