Student Ambassadors DSTI voices you can contact
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Overview Why speak to them Meet the ambassadors How to contact Next step
Student life · Peer insight

Student Ambassadors, real DSTI voices.

Speak with DSTI alumni and experienced students about programmes, study modes, professional paths and everyday life within the DSTI community.

Irene Pham
Irene Pham
Jean Milpied
Jean Milpied
Nathan De Blecker
Nathan De Blecker
Jade Vieval
Jade Vieval
14contactable DSTI Ambassadors
01 — Why speak to them

A useful conversation before you choose.

DSTI Ambassadors do not replace Admissions. They add another perspective: what the programme felt like, how they studied, how they moved into professional work and what they wish they had known earlier.

Programmes

Ask about academic rhythm

How technical the programme feels, how to prepare, and how DSTI’s teaching approach works in practice.

Study modes

On campus, Live Streamed or Online

Hear how different study formats fit around work, distance, relocation and personal organisation.

Careers

From DSTI to professional roles

Talk about internships, projects, technical positioning and the move into data, AI, engineering or cyber roles.

02 — Meet them

Choose the voice closest to your question.

Each card links directly to LinkedIn and email. Profiles are public so prospective students can decide who feels most relevant to their situation.

Irene Pham
MSc in Data Science & AISophia-Antipolis

Irene Pham

I’m a Machine Learning Engineer at Amadeus, focused on MLOps, cloud cost optimisation and Big Data. With a background in data science, AI and international business, I’m passionate about using data to solve real-world problems.

Jean Milpied
MSc in Data Science & AIParis

Jean Milpied

Based in Paris with 15+ years in tech, I’m a Python developer specialising in data science. I lead agile data teams to drive impact on SaaS products through data and machine learning.

Nathan De Blecker
MSc in Data Engineering for AISophia-Antipolis

Nathan De Blecker

I’m a Machine Learning Engineer at Amadeus, focused on MLOps, cloud cost optimisation and Big Data. With a background in data science, AI and international business, I’m passionate about using data to solve real-world problems.

Jade Vieval
MSc in Data Analytics with AIBelgium

Jade Vieval

After nearly nine years in sales, I transitioned into data analytics, driven by a new passion discovered through a skills assessment.

Medhi Famibelle
MSc in Data Science & AIFrance and Luxembourg

Medhi Famibelle

I am AI Practice Leader at AKABI. I hold an engineering degree from ENSEIRB, an Executive MBA from ESC and an MSc in Data Science & AI from DSTI. I am based in France and Luxembourg, where I work on artificial intelligence projects.

Giti Shekari
MSc in Data Analytics with AIStrasbourg

Giti Shekari

I hold two bachelor’s degrees, one in Mechatronics and one in Computer Science, and I am pursuing my MSc in Data Analytics with AI at DSTI. I also work as a Data Analyst at Focal, focusing on consumer behaviour and product insights on big data.

Mohamed Dhmine
MSc in Data Science & AISophia-Antipolis

Mohamed Dhmine

Data Scientist at OGC Nice, focused on predictive analytics, business intelligence dashboards and performance analysis. With an MSc in Data Science & AI and expertise in machine learning and data visualisation, I’m passionate about using data in professional sport.

Mark Dakroub
MSc in Data Engineering for AISophia-Antipolis

Mark Dakroub

Cloud Data Engineer at Amadeus in Sophia-Antipolis and former AI Engineering Intern at LIRIS CNRS – Lyon. I focus on building scalable data solutions and ETL pipelines, transforming raw and complex data into actionable insights.

Timmothy Dangeon
MSc in Data Science & AIParis

Timmothy Dangeon

I began my MSc in Data Science & AI during my Doctor of Pharmacy studies. As a machine-learning engineer and pharmacist, I work in medtech using data and AI to improve patients’ health.

Edward Jenkins
MSc in Data Science & AIParis

Edward Jenkins

With 5+ years of experience as a Data Scientist after a bachelor’s degree in economics, I joined DSTI to deepen my expertise. My work at INSIGHT2PROFIT in Cleveland focuses on causal analysis and classic machine-learning models.

Carlos Jesus Caro
MSc in Data Science & AICanada

Carlos Jesus Caro

Electrical Engineer with 15+ years of cross-industry experience. I specialise in connecting Data Science and Data Engineering, ensuring that advanced AI models are supported by solid data foundations.

Pawel Dymek
MSc in Data Analytics with AIPoland

Pawel Dymek

I’m a Principal Data Engineer and part-time visiting academic lecturer. After experience in engineering, software development and analytics, I decided to strengthen my skills with a second MSc degree at DSTI, completed online in 2024.

Anslem Fondzewong
MSc in Data Science & AISénas

Anslem Fondzewong

After two Master’s degrees and six years of experience as an IT official, I upskilled in Data Science, AI and Cloud Computing at DSTI. I now work on AI solutions and lead ALPHABITS.TECH, an initiative dedicated to AI education.

Antoine Herbet
MSc in Data Science & AIMarseille

Antoine Herbet

After 15+ years as a physiotherapist and sport scientist, I dived into data science with DSTI as an online student. I now work in hospital, deploying and operating a healthcare data warehouse within a national and European framework.

03 — How to contact

Keep it simple and specific.

Write a short message, introduce your background, and ask the question that matters most to you. For official admission decisions, scholarships, documents and deadlines, DSTI Admissions remains the reference point.

1Pick a profile close to your programme, study mode or career interest.
2Use LinkedIn or email and ask one or two clear questions.
3Use Admissions for formal application guidance and official decisions.
04 — Next step

A human view, before the formal step.

Ambassadors help you picture the experience. Admissions helps you confirm eligibility, scholarship options, documents and your application timeline.