Foundations and methods
Mathematics, statistics, modelling, optimisation, machine learning and scientific reasoning are supported by academics and researchers from universities, research institutes and scientific organisations.
Faculty
Academics and practitioners, teaching the real field.
DSTI’s faculty combines university academics, researchers, engineers, data and AI specialists, cyber security practitioners, business and legal contributors, and internal teaching leadership. The objective is simple: connect strong foundations with the systems, tools and professional judgement students need after graduation.
01 — Teaching approach
A deliberately mixed faculty.
DSTI brings together complementary teaching profiles: academics and researchers for the scientific foundations, practitioners for implementation and systems work, and professional contributors for the wider environment in which technology is designed, deployed and governed.
Systems and implementation
Software, data platforms, cloud, cyber security, networks and operational systems are taught with input from people who build, secure, manage and use these systems professionally.
Judgement beyond tools
Project management, law, ethics, communication, sustainability and business applications help students understand how technical work is used in organisations and society.
02 — Teaching areas
Teaching areas across the school.
Faculty profiles summarise broad subject areas so readers can understand the expertise represented across DSTI. Exact teaching assignments may evolve by intake, programme structure and academic planning.
Mathematics, statistics and modellingFoundations, inference, time series, optimisation, survival analysis and applied mathematics.
AI, machine learning and data scienceMachine learning, deep learning, neural networks, computer vision and model operations.
Data engineering and analyticsSQL, data wrangling, pipelines, NoSQL, graph databases, warehousing, reporting and visualisation.
Software, systems and cloudProgramming, software engineering, operating systems, cloud platforms, DevOps and infrastructure.
Cyber security and secure systemsNetworks, penetration testing, secure code, formal verification, governance, risk and compliance.
Professional environmentProject management, business applications, legal context, ethics, communication and sustainable digital systems.
03 — Academics and researchers
Academic depth where it matters.
Academic and research profiles bring disciplinary depth in mathematics, statistics, computer science, AI, systems, cyber security, law, history and related fields. Where academic titles are displayed, the page uses a concise Dr / Pr style.
AF
Academic / researcher
Pr Anna Freni Sterrantino
Turing Institute, UKScience
Teaching areas
- statistics, modelling and optimisation
CF
Academic / researcher
Pr Catherine Faron
Université Côte d’AzurTechnology
Teaching areas
- data engineering, analytics and platforms
CB
Academic / researcher
Pr Charles Bouveyron
Institut 3IA Côte d’AzurScience & technology
Teaching areas
- statistics, modelling and optimisation
- data engineering, analytics and platforms
CM
Academic / researcher
Dr Christine Malot
Université Côte d’AzurScience & technology
Teaching areas
- mathematical foundations
- statistics, modelling and optimisation
- AI, machine learning and model operations
CB
Academic / researcher
Dr Christophe Becavin
Université Côte d’AzurScience & technology
Teaching areas
- statistics, modelling and optimisation
- AI, machine learning and model operations
- software, systems, cloud and infrastructure
DA
Academic / researcher
Pr Didier Auroux
Université Côte d’AzurScience & technology
Teaching areas
- mathematical foundations
- statistics, modelling and optimisation
- AI, machine learning and model operations
EM
Academic / researcher
Dr Edouard Machover
Saint-GobainScience
Teaching areas
- digital context, sustainability and history
FG
Academic / researcher
Pr Fabien Gandon
INRIAScience & Technology
Teaching areas
- semantic and knowledge engineering, hybrid AI
GB
Academic / researcher
Dr Georgiy Bobashev
RTI InternationalScience & technology
Teaching areas
- statistics, modelling and optimisation
HA
Academic / researcher
Hanna Abi Akl
DSTIScience & technology
Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure
- cyber security, networks and secure code
JB
Academic / researcher
Pr Jacques Blum
Université Côte d’AzurScience
Teaching areas
- mathematical foundations
- statistics, modelling and optimisation
JC
Academic / researcher
Dr Julie Charpenet
Université Côte d’AzurScience & technology
Teaching areas
- software, systems, cloud and infrastructure
- data law, ethics and regulation
JJ
Academic / researcher
Pr Julien Jacques
Université Lumière Lyon 2Science
Teaching areas
- statistics, modelling and optimisation
MG
Academic / researcher
Marc Gaetano
Université Côte d’AzurTechnology
Teaching areas
- software, systems, cloud and infrastructure
- project, business and professional practice
MT
Academic / researcher
Pr Marina Teller
Université Côte d’AzurTechnology
Teaching areas
- software, systems, cloud and infrastructure
- data law, ethics and regulation
MV
Academic / researcher
Martin Van Waerebeke
INRIAScience & technology
Teaching areas
- statistics, modelling and optimisation
- AI, machine learning and model operations
NP
Academic / researcher
Nicolas Pourcelot
Université Côte d’AzurScience & technology
Teaching areas
- mathematical foundations
- data engineering, analytics and platforms
- cyber security, networks and secure code
PM
Academic / researcher
Pr Pierre Mounier-Kuhn
CNRSProfessional environment
Teaching areas
- digital context, sustainability and history
TR
Academic / researcher
Tamara Rezk
INRIATechnology
Teaching areas
- cyber security, networks and secure code
TV
Academic / researcher
Thierry Vert
Université Côte d’AzurTechnology
Teaching areas
- software, systems, cloud and infrastructure
- cyber security, networks and secure code
VS
Academic / researcher
Valeriya Strizhkova
INRIAScience
Teaching areas
- statistics, modelling and optimisation
XR
Academic / researcher
Pr Xavier Rival
ENS ParisScience
Teaching areas
- cyber security, networks and secure code
04 — Practitioners and professional contributors
Professional practice in the classroom.
These profiles bring industrial, technical, consulting and operational experience into the programmes.
AK
Faculty contributor
Adel Khaldi
Affiliation not displayedTechnology
Teaching areas
- cyber security, networks and secure code
AK
Industry practitioner
Albert Konrad
BlaBlaCarScience & technology
Teaching areas
- software, systems, cloud and infrastructure
AE
Industry practitioner
Ana Escobar
TinderScience & technology
Teaching areas
- data engineering, analytics and platforms
AS
Industry practitioner
Assan Sanogo
Datajam.aiScience & technology
Teaching areas
- AI, machine learning and model operations
- software, systems, cloud and infrastructure
AB
Industry practitioner
Aurélien Bassama
Deutsche TelekomTechnology
Teaching areas
- cyber security, networks and secure code
- project, business and professional practice
BM
Industry practitioner
Benoit Mialet
ValowayScience & technology
Teaching areas
- AI, machine learning and model operations
- cyber security, networks and secure code
CZ
Industry practitioner
Clément Ziane
ConsultantScience & technology
Teaching areas
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure
DM
Industry practitioner
David Medio
ConsultantScience
Teaching areas
- statistics, modelling and optimisation
- data engineering, analytics and platforms
- cyber security, networks and secure code
- digital context, sustainability and history
DW
Industry practitioner
David Worms
AdaltasTechnology
Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure
DS
Industry practitioner
Dora Sabino
BlazarScience & technology
Teaching areas
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure
EM
Industry practitioner
Eliott Morcillo
ADALTASTechnology
Teaching areas
- data engineering, analytics and platforms
- cyber security, networks and secure code
EA
Industry practitioner
Estelle Auberix
IOKELATechnology
Teaching areas
- software, systems, cloud and infrastructure
- cyber security, networks and secure code
- project, business and professional practice
FM
Industry practitioner
Fabien Massol
AmadeusTechnology
Teaching areas
- cyber security, networks and secure code
- project, business and professional practice
GP
Industry practitioner
Gregory Philips
ThalesTechnology
Teaching areas
- software, systems, cloud and infrastructure
GD
Industry practitioner
Grégoire de Lassence
SAS FranceScience
Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms
JN
DSTI faculty
Jason Nsimba
CGITechnology
Teaching areas
- data engineering, analytics and platforms
JD
Industry practitioner
Jean-François Derenty
ConsultantScience & technology
Teaching areas
- data engineering, analytics and platforms
JS
Industry practitioner
Joe Sanchez
AdaltasTechnology
Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure
LS
Industry practitioner
Luca Sainte-Croix
FreelanceScience & technology
Teaching areas
- software, systems, cloud and infrastructure
- cyber security, networks and secure code
- project, business and professional practice
- digital context, sustainability and history
LB
Professional contributor
Lucine Brutti
FreelanceProfessional environment
Teaching areas
- languages and professional communication
LR
Industry practitioner
Luke Radivoev
Nordic Guarantee GlobalScience
Teaching areas
- data engineering, analytics and platforms
MD
Industry practitioner
Marc Durand de Grossouvre
URBSScience
Teaching areas
- statistics, modelling and optimisation
- AI, machine learning and model operations
MN
Industry practitioner
Marc Ntumba
CPAMScience & technology
Teaching areas
- mathematical foundations
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure
- cyber security, networks and secure code
MK
Industry practitioner
Mehdi Kermad
ConsultantTechnology
Teaching areas
- software, systems, cloud and infrastructure
MB
Professional contributor
Melissa Brown
Easy Sailing Language TrainingProfessional environment
Teaching areas
- project, business and professional practice
- languages and professional communication
MH
Industry practitioner
Mori Huang
AdaltasTechnology
Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure
NS
Industry practitioner
Nadiya Shvai
Cyclope.aiScience
Teaching areas
- statistics, modelling and optimisation
NL
Industry practitioner
Nelson Lopez
PrestashopTechnology
Teaching areas
- data engineering, analytics and platforms
OP
Industry practitioner
Octave Prevot
AdaltasTechnology
Teaching areas
- data engineering, analytics and platforms
- cyber security, networks and secure code
RP
Industry practitioner
Pr Robert Plana
AssystemScience
Teaching areas
- digital context, sustainability and history
SM
Industry practitioner
Stéphane Mollard
AmadeusTechnology
Teaching areas
- cyber security, networks and secure code
- project, business and professional practice
SS
Professional contributor
Suzanne Simonet
FreelanceProfessional environment
Teaching areas
- project, business and professional practice
SC
DSTI faculty
Sébastien Corniglion
DSTITechnology
Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure
TJ
Industry practitioner
Thomas Jauniaux
SiemensTechnology
Teaching areas
- statistics, modelling and optimisation
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure
- cyber security, networks and secure code
VZ
Industry practitioner
Valery Zuniga Kondrashov
IxpantiaScience & technology
Teaching areas
- science and technology applications
YR
Industry practitioner
Yannick Ramond
PMO DataTechnology
Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms
YY
Industry practitioner
Yong Yao
ConsultantTechnology
Teaching areas
- data engineering, analytics and platforms
05 — Profile notes
Understanding the profiles.
DSTI’s teaching team evolves with programme development, academic planning and professional availability. The page is intended to give a clear public view of the expertise represented around the school.
Teaching areas are indicative. Programme names follow DSTI’s current programme structure. Topic summaries help readers understand each profile’s main contribution areas, while exact teaching assignments may change from one intake to another.
06 — Next step
Understand the academic environment around the programmes.
The faculty page is one part of the picture. Programme structure, academic framework, Direction of Studies and internships explain how students move from teaching to professional experience.