Alessio Gallucci
Work Experience
Philips Senior Data Scientist, Oral Healthcare
Philips Data Scientist, Oral Healthcare
Philips Data Scientist, Personal and Preventive Care
- 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
- 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
- Designed and delivered over 35 hours of hybrid curriculum for high school students, ranging from foundational machine learning to intensive, multi-day AI workshops.
- Developed interactive modules covering Generative AI (LLMs and prompt engineering), visual creativity tools, and the philosophical and societal implications of AI.
- Facilitated hands-on sessions to build intuition for data-driven reasoning, including multi-disciplinary outreach events like a chess simultaneous exhibition.
Z-Inspection® Initiative Researcher, Trustworthy AI
- 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
Philips Internship, Parametric 3D Human Body Modelling and Analysis
- 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
- 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
- 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
- [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
- [Thesis] Geometrical aspect in the development of a C++ code for the simulation of flow in fractured media.
Certifications
Python for Everybody Specialization
Deep Learning Specialization
Introduction to Data Engineering
Generative AI for Everyone
Machine Learning Data Lifecycle in Production
Machine Learning in Production
Build Basic Generative Adversarial Networks (GANs)
AI For Everyone
Introduction to Psychology
Trustworthy AI for Healthcare Management
Teaching Certificate for Z-Inspection®
DeepLearn2024 11th International School on Deep Learning
Academic Writing Made Easy
Writing in the Sciences
Navigating the EU AI Act
Value Proposition Creation Masterclass Personal Health
Mindfulness Based Stress Reduction (MBSR)
Languages
- 🇮🇹 Italiano Native or bilingual proficiency
- 🇬🇧 English Professional working proficiency
- 🇪🇸 Spanish Limited working proficiency
- 🇳🇱 Dutch Elementary proficiency