Algorithmic Perception
High-dimensions
Fragrance is a complex physical object—a precise molecular assembly, engineered by nature or human, designed to trigger a specific architecture of perceptual responses. By modulating the limbic system and engaging mnemic neural pathways to elicit emotional resonance, it transcends sensation. Consequently, the olfactory experience is modeled not as a discrete coordinate, but as a perceptual high-dimensional distribution embedded within a latent manifold—the mathematical locus where sensory data and human affect converge.
The Architecture of a Mystery: From Herbaria to High-Dimensional Data
My path has always been guided by a singular devotion to the natural sciences—a fascination rooted in the intersection of physics, chemistry, and the complex beauty of botany. As a child, I spent my days meticulously curating herbaria and plant collections, captivated by the structural power of physical theory and the hidden patterns of the universe. It was through these early observations that I came to share Galileo’s conviction: if the universe is indeed written in a language, that language is mathematics.
What began as childhood wonder has evolved into a lifelong mission: investigating the hidden structures of our world through the lens of formal logic and applied mathematics.
The Academic Foundation: Decoding the Manifold
My work is defined by a consistent pursuit: decoding the invisible geometry within complex data. This journey began with my Bachelor’s in Mathematics, where I focused on Topological K-theory, exploring the fundamental invariants of vector bundles. This deep dive into pure geometry provided the abstract framework—the "grammar" of space—that I would later apply to the physical world.
During my Master’s in Applied Mathematics, I moved from abstract spaces to the molecular level. I specialized in geometrical molecular descriptors, developing mathematical representations of chemical structures to optimize molecular design. By quantifying the "shape" of a molecule, I began to see chemistry not just as a sequence of bonds, but as a manifold of possibilities.
This path led me to Inria (Sophia Antipolis) for my PhD, where I specialized at the intersection of High-Dimensional Data Analysis and Machine Learning. My doctoral research was a rigorous exploration of the mathematical foundations of AI:
Kernel Methods & Distribution Theory: Modeling data not as discrete points, but as continuous functions and probability densities.
Geometric Measure Theory: Utilizing the intrinsic geometry of data to find structural order within stochastic noise.
Optimization & AI: Developing bespoke learning approaches and structural models to navigate the "curse of dimensionality."
Strategic Expertise & Industrial Intelligence
Today, I translate this mathematical background into industrial value. As a consultant and R&D director, I design intelligent systems that bridge the gap between high-dimensional theory and the tangible world of luxury and optimization:
AI Models & Algorithm Design: Developing custom deep learning architectures for predictive modeling and pattern recognition.
Supply Chain Optimization: Applying stochastic optimization and geometric analysis to create resilient, zero-waste supply chain protocols and logistics.
Sensory Data Analysis: Utilizing high-dimensional mapping and Machine Learning to bridge the gap between physical molecular stimuli and human emotional perception.
The Professional Ecosystem: An Integrated Intelligence Framework
My professional career is defined by a continuous dialogue across distinct disciplines, bridging the divide between abstract mathematics and the tangible realm of sensory experience. This integrated framework ensures that rigorous scientific methodology is embedded within every stage of the creative and industrial process.
1. STX DATA | Senior Consultant: Industrial Data Architecture
At STX DATA, I engineer the mathematical scaffolding and Big Data architecture requisite for modern industrial evolution. My practice focuses on the structural integrity of data systems, ensuring that complex, non-linear variables are synthesized into actionable strategic intelligence.
Systemic Focus: Engineering robust frameworks for large-scale data ingestion and the deployment of predictive models within global industrial workflows.
Strategic Expertise: Transforming raw industrial datasets into refined strategic assets that drive operational resilience and long-term scalability.
2. Alchemia Essenze | CEO & R&D Director: Generative Design & Molecular Strategy
Alchemia Essenze operates as a high-performance R&D engine for an international luxury clientele. We synthesize a decade of artisanal mastery with the frontiers of Generative Deep Learning to mathematically define the olfactory landscape and optimize the fragrance lifecycle.
ScentEncoder: Mapping the Olfactory Manifold
We have developed a proprietary machine learning methodology that formally describes the "Space of Scents." By utilizing Olfactory Dictionaries (OD), we generate precise coordinates within a representation space, enabling the definition and measurement of mathematical distances between complex fragrances.
The Dual-Transformer Architecture
Molecular Layer (Chemical-Transformer): Translates raw chemical structures and OD-attributes into a high-dimensional latent space.
Semantic Layer (LLM): Processes linguistic descriptors and sensations to map the intersection of chemical composition and human perception.
Integrated Industrial Solutions: From Molecule to Market
We provide specialized solutions that bridge the gap between creative vision and industrial reality, ensuring total consistency across the supply chain:
Raw Material Selection & Product Development: Utilizing generative models to identify and source molecules that meet precise aesthetic, olfactory, and stability criteria.
Fragrance Reproduction & Scaling: Maintaining the mathematical "DNA" of a signature scent across global production batches to eliminate variance.
Perfume Delivery Systems: Engineering the final physical delivery to ensure the olfactory experience is rendered exactly as intended by the digital model.
Core Competency: The Art-Science Synthesis
We deliver bespoke olfactory signatures validated by global houses. By combining the "Art" of intuition with the "Science" of structured data, we provide a comprehensive description of the scent universe, making the entire creation process—from raw material to final delivery—mathematically consistent and artistically transcendent.
3. Scentaris | Co-Founder & CTO: Encoding the Internet of Senses
Scentaris establishes the foundational communication architecture for the Internet of Senses (IoS). We are dedicated to the standardization of sensory encoding, transmission, and reconstruction protocols, facilitating the seamless integration of high-fidelity olfactory data into global digital networks.
SDE & ODE Protocols: Standardizing Sensory Communication
We architect the Sensory Data Exchange (SDE) and Olfactory Data Exchange (ODE) protocols. These function as the definitive codecs for the digital era, providing a rigorous mathematical framework for the transmission of complex perceptual distributions across decentralized networks.
Expertise: The definition of global transmission standards that enable the physical world to be digitized, transmitted, and experienced through mathematically grounded sensory infrastructure.
Practical Innovation: Science in Practice.
My methodology is operationalized through specialized initiatives where theory meets reality:
Parfumeide: My laboratory for olfactory exploration through molecular precision and niche branding.
Floramolecules: A direct validation of my circular economy research, utilizing data-driven supply chain optimization to achieve zero-waste cosmetic production.
Tuscan Melody: A multi-sector project harmonizing the artisanal supply chains of Fragrance, Yarn, and Leather—an application of my SCIN 2025 research on local supply chain resilience.
Academic Commitment & Research Contribution
I believe that true scientific progress requires a constant dialogue between the university and the industry. My commitment to education and research remains a cornerstone of my professional life:
Istituto Marangoni | Lecturer: I serve as a lecturer teaching the intersection of sensory analysis, technology, and luxury branding, helping the next generation of creatives navigate the creative and digital-sensory frontier.
Research & Contribution: I maintain active collaborations with global academic institutions in both mathematics and sensory science. This is reflected in my ongoing contributions to the field, such as my research presented at the SCIN 2025 Conference regarding circular economies in local supply chains.
Core Philosophy: Algorithmic Perception
"Fragrance is a complex physical object—a precise molecular assembly, engineered by nature or human, designed to trigger a specific architecture of perceptual responses. By modulating the limbic system and engaging mnemic neural pathways to elicit emotional resonance, it transcends sensation. Consequently, the olfactory experience is modeled not as a discrete coordinate, but as a perceptual high-dimensional distribution embedded within a latent manifold—the mathematical locus where sensory data and human affect converge."
"Perchè un giorno parleremo insieme del profumo dei fiori."
