Alessio Gallucci

Work Experience

Philips Senior Data Scientist, Oral Healthcare
Apr 2026 – Present · Full-time · Eindhoven, Netherlands
Philips Data Scientist, Oral Healthcare
Aug 2023 – May 2026 · Full-time · Eindhoven, Netherlands
Philips Data Scientist, Personal and Preventive Care
Mar 2022 – Aug 2023 · Full-time · Eindhoven, Netherlands
Details
  • Created SkinAI technology for Lumea IPL 9900 Series, improving the hair removal experience.
  • Collected, cleaned, and preprocessed large datasets of high-resolution skin images, 3D heads, and bodies.
  • Conducted exploratory data analysis to identify trends, patterns, and anomalies.
  • Supported annotators and labeling teams using statistical analysis and data mining techniques.
  • Developed machine learning algorithms and models for predictive analytics and pattern recognition.
  • Designed and executed experiments to validate hypotheses and improve model performance.
  • Collaborated with cross-functional teams to deliver on business KPIs and deploy models.
  • Presented findings and insights to both technical and non-technical stakeholders.
Philips PhD Candidate, Data Scientist
Aug 2017 – Mar 2022 · Full-time · Eindhoven, Netherlands
Details
  • Applied computer vision, statistics, and deep learning to model and analyze 3D body and face data.
  • Applied machine and deep learning techniques to analyze and parameterize skin.
  • Performed image segmentation, statistical analysis, and causal inference methods.
  • Mentored and supervised master students on: 3D head reconstruction, skin patch localization, 3D scientific visualization, and 2D–3D full-body mapping.
  • Actively served as a board member in the Philips Interns and Philips PhD Communities.
Luigi Lagrange Scientific Training School High School Teacher, Data Science & AI
2025 – Present · Volunteer
Details
  • Designed and delivered 35+ hours of hybrid curriculum for high-school students, from foundational machine learning to multi-day AI workshops.
  • Built interactive modules on Generative AI (LLMs, prompt engineering), visual creativity tools, and the societal implications of AI.
  • Ran hands-on sessions building intuition for data-driven reasoning, plus outreach like a chess simultaneous exhibition.
Z-Inspection® Initiative Researcher, Trustworthy AI
Aug 2020 – Present · Volunteer
Details
  • Analyzed existing AI systems and algorithms to identify potential ethical and bias-related issues.
  • Collaborated with heterogeneous experts to integrate ethical considerations into the AI development lifecycle.
  • Conducted literature reviews and contributed to academic publications on Trustworthy AI.
Eindhoven MedTech Innovation Center (e/MTIC) PhD Candidate, Data Scientist
2018 – 2022 · Full-time · Eindhoven, Netherlands
Philips Internship, Parametric 3D Human Body Modelling and Analysis
Sep 2016 – Jun 2017 · Internship · Eindhoven, Netherlands
Details
  • Derived a 3D parametric model of the human body from a collection of 3D scans (CAESAR dataset).
  • Morphed a high-resolution template (>50k vertices) into all target scans using non-rigid registration techniques.
  • Encoded the linear class via PCA, reaching a compact parametric space balancing precision and generalization.
  • Demonstrated the model captures time-varying phenomena (ageing, weight change) with significant efficiency.
  • Model used in downstream tasks including skin surface and subcutaneous fat estimation.
  • Tools: Matlab, Bash, Git, SourceTree, Torque/Maui, SQL, Java.
ELIS.org Internship, Natural Language Processing and Web Traffic Modelling
Nov 2015 – May 2016 · Internship · Rome, Italy
Details
  • Developed two NLP models for predicting Turin and Milan's voting preferences and economic growth trends.
  • Input data provided by TIM (major Italian telco): geo-referenced web traffic from those areas.
  • Validated models using previous election results and market indexes from open databases.
  • Visualized and interpreted results to support client decision-making.

Education

Eindhoven University of Technology PhD, Computational and Applied Mathematics
2017 – 2021 · Eindhoven, Netherlands
Details
  • Conducted research on skin-specific descriptors for customized analytics software.
  • Gathered skin images from diverse device modalities in various studies.
  • Achieved automatic detection of skin features for personal care applications.
  • Utilized computer vision tools to parameterize and analyze skin images.
  • Developed skin-specific feature detectors using machine learning techniques.
Politecnico di Torino MSc, Applied Mathematics
2014 – 2016 · Turin, Italy
Grade: 110/110 cum laude
Details
  • [Thesis] Parametric 3D Human Body Modelling and Analysis.
  • [Exams] Artificial intelligence, Stochastic processes, Statistical models, Discrete mathematics, Graphs and dynamics over network, Equations of Mathematical Physics, Information theory and codes, Numerical methods for partial derivative equations, Economics, Operating system, Cryptography, Database management systems, Algorithms for optimization and statistical inference, Financial engineering.
  • [Tools] Latex, Matlab, Octave, Java, SQL, C, C++, Bash, R.
Politecnico di Torino Bachelor's degree, Applied Mathematics
2010 – 2013 · Turin, Italy
Grade: 92/110
Details
  • [Thesis] Geometrical aspect in the development of a C++ code for the simulation of flow in fractured media.

Supervision

Vlad Barbulescu Intern
2026-02 · TU/e
Project: Self-supervised Deep Learning for Sensor Signals
Georgia Christodoulou Intern
2026-02 · TU/e
Project: Deep Representation Learning
Rakesh Madavan Intern
2026-03 · University of Amsterdam
Project: Deep Learning for 3D Reconstruction
Fadia Suwandoko Intern
2026-03 · Utrecht University
Project: Deep Learning for 3D Tracking
Cas Jansen Intern
2025-09 · Radboud University
Project: Deep Learning Visual Prompting for Image Segmentation
Elena Stamatelou PhD student
2024-02 · ACTA
Project: Explainable ML for periodontitis/diabetes screening from oral-rinse proteomics
Iva Milojkovic Intern
2022-09 · 9 mos · Politecnico di Milano
Project: 3D Facial Mesh Reconstruction from 2D Images
Sun Xinyu Intern
2022-05 · 4 mos · ETH Zürich
Project: 3D Body Estimation from 2D Representations
Yuxuan Long Intern
2021-05 · 4 mos · EPFL
Project: Single-view 3D Human Body Reconstruction using Neural Networks
Florian Delberghe Intern
2020-03 · 7 mos · EPFL
Project: Skin Mapping and Navigation
Jawahar Ponathipan Intern
2019-08 · 6 mos · TU/e
Project: 3D Head Reconstruction
Hugo Oskian Intern
2018-04 · 6 mos · Centrale Nantes
Project: 3D Body Rigging and Skinning

Certifications

Advanced Course on Data Science & Machine Learning 2026
ACDL · Jun 2026
Python for Everybody Specialization
University of Michigan · Apr 2023
Deep Learning Specialization
DeepLearning.AI · May 2020
Introduction to Data Engineering
DeepLearning.AI · Oct 2024
Generative AI for Everyone
DeepLearning.AI · Jan 2024
Machine Learning Data Lifecycle in Production
DeepLearning.AI · Nov 2022
Machine Learning in Production
DeepLearning.AI · Oct 2022
Build Basic Generative Adversarial Networks (GANs)
DeepLearning.AI · Oct 2020
AI For Everyone
DeepLearning.AI · Apr 2020
Introduction to Psychology
Yale University · May 2023
Trustworthy AI for Healthcare Management
Politecnico di Milano · Jan 2023
Teaching Certificate for Z-Inspection®
Z-Inspection® Initiative · Jul 2022
DeepLearn2024 11th International School on Deep Learning
IRDTA · Jul 2024
Academic Writing Made Easy
Technical University of Munich · Jan 2022
Writing in the Sciences
Stanford University · Nov 2021
Navigating the EU AI Act
LinkedIn · Mar 2025
Value Proposition Creation Masterclass Personal Health
Philips · Dec 2021
Mindfulness Based Stress Reduction (MBSR)
SUAS / Schouten & Nelissen · Sep 2024

Languages

🇮🇹 Italiano Native or bilingual proficiency
🇬🇧 English Full professional proficiency
🇪🇸 Spanish Limited working proficiency
🇳🇱 Dutch Elementary proficiency