# Faculty | DSTI School of Engineering

Academics and practitioners, teaching the real field.

Canonical HTML: https://dsti.school/faculty

This Markdown copy is generated from the same DSTI static-site build as the canonical HTML page. It is intended for machine readability and concise retrieval.

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.

## Faculty at a glance

A working community of academics, researchers and professionals.

- **50+:** faculty members and contributors across DSTI’s teaching ecosystem.
- **33%+:** academic and research profiles.
- **66%:** industry, professional or internal teaching profiles.
- **Mixed profiles:** some profiles connect academic research with industry or institutional practice.

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.

Science

### 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.

Technology

### 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.

Professional context

### 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 modelling Foundations, inference, time series, optimisation, survival analysis and applied mathematics.

AI, machine learning and data science Machine learning, deep learning, neural networks, computer vision and model operations.

Data engineering and analytics SQL, data wrangling, pipelines, NoSQL, graph databases, warehousing, reporting and visualisation.

Software, systems and cloud Programming, software engineering, operating systems, cloud platforms, DevOps and infrastructure.

Cyber security and secure systems Networks, penetration testing, secure code, formal verification, governance, risk and compliance.

Professional environment Project 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, UK Science

Teaching areas
- statistics, modelling and optimisation

- [Pr Anna Freni Sterrantino — Google Scholar](https://scholar.google.com/citations?user=LCL1xZQAAAAJ&hl=en)
- [Pr Anna Freni Sterrantino — Public profile](https://www.turing.ac.uk/people/turing-research-fellows/anna-freni-sterrantino)

CF

Academic / researcher

### Pr Catherine Faron

Université Côte d’Azur Technology

Teaching areas
- data engineering, analytics and platforms

- [Pr Catherine Faron — LinkedIn](https://www.linkedin.com/in/catherine-faron-7b10ab14/)
- [Pr Catherine Faron — Google Scholar](https://scholar.google.com/citations?user=JROMCjEAAAAJ&hl=fr)
- [Pr Catherine Faron — Public profile](https://www.i3s.unice.fr/~faron/)

CB

Academic / researcher

### Pr Charles Bouveyron

Institut 3IA Côte d’Azur Science & technology

Teaching areas
- statistics, modelling and optimisation
- data engineering, analytics and platforms

- [Pr Charles Bouveyron — Google Scholar](https://scholar.google.com/citations?user=KoWHecYAAAAJ&hl=fr)
- [Pr Charles Bouveyron — Public profile](https://math.univ-cotedazur.fr/u/cbouveyr/)

CM

Academic / researcher

### Dr Christine Malot

Université Côte d’Azur Science & technology

Teaching areas
- mathematical foundations
- statistics, modelling and optimisation
- AI, machine learning and model operations

- [Dr Christine Malot — LinkedIn](https://www.linkedin.com/in/christine-malot-7092718b/)
- [Dr Christine Malot — Google Scholar](https://scholar.google.fr/citations?user=KCPI8foAAAAJ&hl=fr)
- [Dr Christine Malot — Public profile](https://univ-cotedazur.fr/christine-malot)

CB

Academic / researcher

### Dr Christophe Becavin

Université Côte d’Azur Science & technology

Teaching areas
- statistics, modelling and optimisation
- AI, machine learning and model operations
- software, systems, cloud and infrastructure

- [Dr Christophe Becavin — LinkedIn](https://www.linkedin.com/in/christophe-becavin/)
- [Dr Christophe Becavin — Google Scholar](https://scholar.google.com/citations?hl=fr&user=supfWpsAAAAJ)
- [Dr Christophe Becavin — Public profile](https://univ-cotedazur.fr/christophe-becavin)

DA

Academic / researcher

### Pr Didier Auroux

Université Côte d’Azur Science & technology

Teaching areas
- mathematical foundations
- statistics, modelling and optimisation
- AI, machine learning and model operations

- [Pr Didier Auroux — LinkedIn](https://www.linkedin.com/in/didier-auroux-0b31ab44/)
- [Pr Didier Auroux — Google Scholar](https://scholar.google.fr/citations?user=5sg8XUAAAAAJ&hl=fr)
- [Pr Didier Auroux — Public profile](https://math.univ-cotedazur.fr/u/auroux/index_en.php)

EM

Academic / researcher

### Dr Edouard Machover

Saint-Gobain Science

Teaching areas
- digital context, sustainability and history

- [Dr Edouard Machover — LinkedIn](https://www.linkedin.com/in/edouard-machover-3345b552/)
- [Dr Edouard Machover — Google Scholar](https://scholar.google.fr/citations?user=PLwbzaIAAAAJ&hl=fr)
- [Dr Edouard Machover — Public profile](https://association.centralesupelec-alumni.com/fr/cv/edouard-machover/ecole-centrale-paris/2010)

FG

Academic / researcher

### Pr Fabien Gandon

INRIA Science & Technology

Teaching areas
- semantic and knowledge engineering, hybrid AI

- [Pr Fabien Gandon — LinkedIn](https://www.linkedin.com/in/fabiengandon/)
- [Pr Fabien Gandon — Google Scholar](https://scholar.google.com/citations?user=PVfj-SAAAAAJ&hl=en)
- [Pr Fabien Gandon — Public profile](http://www-sop.inria.fr/members/Fabien.Gandon/)

GB

Academic / researcher

### Dr Georgiy Bobashev

RTI International Science & technology

Teaching areas
- statistics, modelling and optimisation

- [Dr Georgiy Bobashev — LinkedIn](https://www.linkedin.com/in/georgiy-bobashev-a27b83/)
- [Dr Georgiy Bobashev — Google Scholar](https://scholar.google.com/citations?user=3nzWsiMAAAAJ&hl=en)
- [Dr Georgiy Bobashev — Public profile](https://www.rti.org/expert/georgiy-bobashev)

HA

Academic / researcher

### Hanna Abi Akl

DSTI Science & 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

- [Hanna Abi Akl — LinkedIn](https://www.linkedin.com/in/hannaabiakl/)
- [Hanna Abi Akl — Google Scholar](https://scholar.google.com/citations?user=7oVvfP4AAAAJ&hl=en)

JB

Academic / researcher

### Pr Jacques Blum

Université Côte d’Azur Science

Teaching areas
- mathematical foundations
- statistics, modelling and optimisation

- [Pr Jacques Blum — LinkedIn](https://www.linkedin.com/in/jacques-blum-9b987830/)
- [Pr Jacques Blum — Google Scholar](https://scholar.google.fr/citations?user=a6j2zmcAAAAJ&hl=fr)
- [Pr Jacques Blum — Public profile](https://math.univ-cotedazur.fr/~jblum/)
- [Pr Jacques Blum — Wikipedia](https://fr.wikipedia.org/wiki/Jacques_Blum)

JC

Academic / researcher

### Dr Julie Charpenet

Université Côte d’Azur Science & technology

Teaching areas
- software, systems, cloud and infrastructure
- data law, ethics and regulation

- [Dr Julie Charpenet — LinkedIn](https://www.linkedin.com/in/julie-charpenet-821142102/)
- [Dr Julie Charpenet — Public profile](https://univ-cotedazur.fr/julie-charpenet)

JJ

Academic / researcher

### Pr Julien Jacques

Université Lumière Lyon 2 Science

Teaching areas
- statistics, modelling and optimisation

- [Pr Julien Jacques — LinkedIn](https://www.linkedin.com/in/pr-julien-jacques/)
- [Pr Julien Jacques — Google Scholar](https://scholar.google.fr/citations?user=wD9lj5MAAAAJ&hl=en)
- [Pr Julien Jacques — Public profile](https://eric.univ-lyon2.fr/jjacques/)

MG

Academic / researcher

### Marc Gaetano

Université Côte d’Azur Technology

Teaching areas
- software, systems, cloud and infrastructure
- project, business and professional practice

- [Marc Gaetano — LinkedIn](https://www.linkedin.com/in/marc-gaetano-b1289018/)
- [Marc Gaetano — Public profile](https://univ-cotedazur.fr/marc-gaetano)

MT

Academic / researcher

### Pr Marina Teller

Université Côte d’Azur Technology

Teaching areas
- software, systems, cloud and infrastructure
- data law, ethics and regulation

- [Pr Marina Teller — LinkedIn](https://www.linkedin.com/in/marina-teller-69550aa3/)
- [Pr Marina Teller — Public profile](https://univ-cotedazur.fr/annuaire/marina-teller)
- [Pr Marina Teller — Additional profile](https://3ia.univ-cotedazur.eu/research/chair-holder-marina-teller)

MV

Academic / researcher

### Martin Van Waerebeke

INRIA Science & technology

Teaching areas
- statistics, modelling and optimisation
- AI, machine learning and model operations

- [Martin Van Waerebeke — LinkedIn](https://www.linkedin.com/in/martin-van-waerebeke/)

NP

Academic / researcher

### Nicolas Pourcelot

Université Côte d’Azur Science & technology

Teaching areas
- mathematical foundations
- data engineering, analytics and platforms
- cyber security, networks and secure code

- [Nicolas Pourcelot — Public profile](https://univ-cotedazur.fr/nicolas-pourcelot)

PM

Academic / researcher

### Pr Pierre Mounier-Kuhn

CNRS Professional environment

Teaching areas
- digital context, sustainability and history

- [Pr Pierre Mounier-Kuhn — LinkedIn](https://www.linkedin.com/in/pierre-mounier-kuhn-70444616/)
- [Pr Pierre Mounier-Kuhn — Public profile](https://centrerolandmousnier.cnrs.fr/fiche-personnelle-pierre-mounier-kuhn/)
- [Pr Pierre Mounier-Kuhn — Wikipedia](https://fr.wikipedia.org/wiki/Pierre-%C3%89ric_Mounier-Kuhn)

TR

Academic / researcher

### Tamara Rezk

INRIA Technology

Teaching areas
- cyber security, networks and secure code

- [Tamara Rezk — LinkedIn](https://www.linkedin.com/in/tamara-rezk-4a008b147/)
- [Tamara Rezk — Public profile](https://www-sop.inria.fr/everest/Tamara.Rezk/)

TV

Academic / researcher

### Thierry Vert

Université Côte d’Azur Technology

Teaching areas
- software, systems, cloud and infrastructure
- cyber security, networks and secure code

- [Thierry Vert — LinkedIn](https://www.linkedin.com/in/thierry-vert-721ab53b/)
- [Thierry Vert — Public profile](https://univ-cotedazur.fr/thierry-vert)

VS

Academic / researcher

### Valeriya Strizhkova

INRIA Science

Teaching areas
- statistics, modelling and optimisation

- [Valeriya Strizhkova — LinkedIn](https://www.linkedin.com/in/valeriya-strizhkova/?originalSubdomain=fr)
- [Valeriya Strizhkova — Google Scholar](https://scholar.google.co.jp/citations?user=6n5PrUAAAAAJ&hl=it)

XR

Academic / researcher

### Pr Xavier Rival

ENS Paris Science

Teaching areas
- cyber security, networks and secure code

- [Pr Xavier Rival — LinkedIn](https://www.linkedin.com/in/xavier-rival-273911149/)
- [Pr Xavier Rival — Public profile](https://www.di.ens.fr/~rival/)

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 displayed Technology

Teaching areas
- cyber security, networks and secure code

AK

Industry practitioner

### Albert Konrad

BlaBlaCar Science & technology

Teaching areas
- software, systems, cloud and infrastructure

- [Albert Konrad — LinkedIn](https://www.linkedin.com/in/mralbertk/)
- [Albert Konrad — Public profile](https://www.adaltas.com/fr/auteur/albert/)

AE

Industry practitioner

### Ana Escobar

Tinder Science & technology

Teaching areas
- data engineering, analytics and platforms

- [Ana Escobar — LinkedIn](https://www.linkedin.com/in/anaescobarllamazares/)

AS

Industry practitioner

### Assan Sanogo

Datajam.ai Science & technology

Teaching areas
- AI, machine learning and model operations
- software, systems, cloud and infrastructure

- [Assan Sanogo — LinkedIn](https://www.linkedin.com/in/assansanogopharmdxmbaxmsc/)

AB

Industry practitioner

### Aurélien Bassama

Deutsche Telekom Technology

Teaching areas
- cyber security, networks and secure code
- project, business and professional practice

- [Aurélien Bassama — LinkedIn](https://www.linkedin.com/in/aurelien-bassama/)

BM

Industry practitioner

### Benoit Mialet

Valoway Science & technology

Teaching areas
- AI, machine learning and model operations
- cyber security, networks and secure code

- [Benoit Mialet — LinkedIn](https://www.linkedin.com/in/benoit-mialet-8b8546150/)

CZ

Industry practitioner

### Clément Ziane

Consultant Science & technology

Teaching areas
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure

- [Clément Ziane — LinkedIn](https://www.linkedin.com/in/clementziane/)

DM

Industry practitioner

### David Medio

Consultant Science

Teaching areas
- statistics, modelling and optimisation
- data engineering, analytics and platforms
- cyber security, networks and secure code
- digital context, sustainability and history

- [David Medio — LinkedIn](https://www.linkedin.com/in/david-medio-69003b35/)
- [David Medio — Public profile](https://www.york.ac.uk/environment/our-staff/david-medio/)

DW

Industry practitioner

### David Worms

Adaltas Technology

Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure

- [David Worms — LinkedIn](https://www.linkedin.com/in/david-worms/)

DS

Industry practitioner

### Dora Sabino

Blazar Science & technology

Teaching areas
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure

- [Dora Sabino — LinkedIn](https://www.linkedin.com/in/dora-sabino/)

EM

Industry practitioner

### Eliott Morcillo

ADALTAS Technology

Teaching areas
- data engineering, analytics and platforms
- cyber security, networks and secure code

- [Eliott Morcillo — LinkedIn](https://www.linkedin.com/in/eliott-morcillo/)

EA

Industry practitioner

### Estelle Auberix

IOKELA Technology

Teaching areas
- software, systems, cloud and infrastructure
- cyber security, networks and secure code
- project, business and professional practice

- [Estelle Auberix — LinkedIn](https://www.linkedin.com/in/estelleauberix/)
- [Estelle Auberix — Public profile](https://mvp.microsoft.com/en-us/RD/profile/4d800e7a-c8fa-e611-8104-3863bb363e80)

FM

Industry practitioner

### Fabien Massol

Amadeus Technology

Teaching areas
- cyber security, networks and secure code
- project, business and professional practice

- [Fabien Massol — LinkedIn](https://www.linkedin.com/in/fabien-m-b63a62/)

GP

Industry practitioner

### Gregory Philips

Thales Technology

Teaching areas
- software, systems, cloud and infrastructure

- [Gregory Philips — LinkedIn](https://www.linkedin.com/in/gr%C3%A9gory-philips-47176318/)

GD

Industry practitioner

### Grégoire de Lassence

SAS France Science

Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms

- [Grégoire de Lassence — LinkedIn](https://www.linkedin.com/in/gregoiredelassence/)

JN

DSTI faculty

### Jason Nsimba

CGI Technology

Teaching areas
- data engineering, analytics and platforms

JD

Industry practitioner

### Jean-François Derenty

Consultant Science & technology

Teaching areas
- data engineering, analytics and platforms

- [Jean-François Derenty — LinkedIn](https://www.linkedin.com/in/jean-fran%C3%A7ois-derenty-29198aa/)

JS

Industry practitioner

### Joe Sanchez

Adaltas Technology

Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure

LS

Industry practitioner

### Luca Sainte-Croix

Freelance Science & technology

Teaching areas
- software, systems, cloud and infrastructure
- cyber security, networks and secure code
- project, business and professional practice
- digital context, sustainability and history

- [Luca Sainte-Croix — LinkedIn](https://www.linkedin.com/in/luca-sainte-croix/)

LB

Professional contributor

### Lucine Brutti

Freelance Professional environment

Teaching areas
- languages and professional communication

- [Lucine Brutti — LinkedIn](https://www.linkedin.com/in/lucine-brutti-japharova-3a43b45/)

LR

Industry practitioner

### Luke Radivoev

Nordic Guarantee Global Science

Teaching areas
- data engineering, analytics and platforms

- [Luke Radivoev — LinkedIn](https://www.linkedin.com/in/luke-radivoev-frm-cfa/)

MD

Industry practitioner

### Marc Durand de Grossouvre

URBS Science

Teaching areas
- statistics, modelling and optimisation
- AI, machine learning and model operations

MN

Industry practitioner

### Marc Ntumba

CPAM Science & technology

Teaching areas
- mathematical foundations
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure
- cyber security, networks and secure code

- [Marc Ntumba — LinkedIn](https://www.linkedin.com/in/marc-ntumba-85a619183/)

MK

Industry practitioner

### Mehdi Kermad

Consultant Technology

Teaching areas
- software, systems, cloud and infrastructure

- [Mehdi Kermad — LinkedIn](https://www.linkedin.com/in/mehdi-kermad/)

MB

Professional contributor

### Melissa Brown

Easy Sailing Language Training Professional environment

Teaching areas
- project, business and professional practice
- languages and professional communication

- [Melissa Brown — LinkedIn](https://www.linkedin.com/in/melissa-sanogo-brown-m-a-tesol-2251b761/)

MH

Industry practitioner

### Mori Huang

Adaltas Technology

Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure

- [Mori Huang — LinkedIn](https://www.linkedin.com/in/mori-h/)

NS

Industry practitioner

### Nadiya Shvai

Cyclope.ai Science

Teaching areas
- statistics, modelling and optimisation

- [Nadiya Shvai — LinkedIn](https://www.linkedin.com/in/nadiya-shvai/?locale=fr_FR)
- [Nadiya Shvai — Google Scholar](https://scholar.google.com/citations?user=jfjZfnoAAAAJ&hl=en)

NL

Industry practitioner

### Nelson Lopez

Prestashop Technology

Teaching areas
- data engineering, analytics and platforms

- [Nelson Lopez — LinkedIn](https://www.linkedin.com/in/nelsongl/)

OP

Industry practitioner

### Octave Prevot

Adaltas Technology

Teaching areas
- data engineering, analytics and platforms
- cyber security, networks and secure code

- [Octave Prevot — LinkedIn](https://www.linkedin.com/in/octave-prevot/)

RP

Industry practitioner

### Pr Robert Plana

Assystem Science

Teaching areas
- digital context, sustainability and history

- [Pr Robert Plana — LinkedIn](https://www.linkedin.com/in/dr-robert-plana-13b08822/)
- [Pr Robert Plana — Google Scholar](https://scholar.google.com/citations?user=zTcbaxoAAAAJ&hl=en)

SM

Industry practitioner

### Stéphane Mollard

Amadeus Technology

Teaching areas
- cyber security, networks and secure code
- project, business and professional practice

- [Stéphane Mollard — LinkedIn](https://www.linkedin.com/in/stephanemollard/)

SS

Professional contributor

### Suzanne Simonet

Freelance Professional environment

Teaching areas
- project, business and professional practice

- [Suzanne Simonet — LinkedIn](https://www.linkedin.com/in/suzanne-simonet-ba43a346/)

SC

DSTI faculty

### Sébastien Corniglion

DSTI Technology

Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure

- [Sébastien Corniglion — LinkedIn](https://www.linkedin.com/in/scorniglion/)
- [Sébastien Corniglion — Google Scholar](https://scholar.google.com/citations?user=PvVkv2AAAAAJ&hl=en)

TJ

Industry practitioner

### Thomas Jauniaux

Siemens Technology

Teaching areas
- statistics, modelling and optimisation
- data engineering, analytics and platforms
- software, systems, cloud and infrastructure
- cyber security, networks and secure code

- [Thomas Jauniaux — LinkedIn](https://www.linkedin.com/in/thomasjauniaux)

VZ

Industry practitioner

### Valery Zuniga Kondrashov

Ixpantia Science & technology

Teaching areas
- science and technology applications

- [Valery Zuniga Kondrashov — LinkedIn](https://www.linkedin.com/in/valery-z%C3%BA%C3%B1iga-kondrashov-b53798171/)

YR

Industry practitioner

### Yannick Ramond

PMO Data Technology

Teaching areas
- AI, machine learning and model operations
- data engineering, analytics and platforms

- [Yannick Ramond — LinkedIn](https://www.linkedin.com/in/yprl/)

YY

Industry practitioner

### Yong Yao

Consultant Technology

Teaching areas
- data engineering, analytics and platforms

- [Yong Yao — LinkedIn](https://www.linkedin.com/in/benjamin-tournadre-2796a1132/)

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.