Stefania Riesi

Ph.D. candidate in Ingegneria Chimica , 41st cycle (2025-2028)
Department of Applied Science and Technology (DISAT)

Profile

PhD

Research topic

Implementation of spectroscopy-based PAT coupled with artificial intelligence for pharmaceutical process design and optimization

Tutors

Keywords

Machine learning
Freeze drying

Biography

My name is Stefania Riesi, and I am a new PhD candidate of the 41st cycle in Chemical Engineering. My doctoral project, carried out in collaboration with the pharmaceutical company Merck Serono S.p.A., focuses on integrating spectroscopic techniques and PAT methodologies with artificial intelligence to support the optimization of pharmaceutical processes.
I obtained my Bachelor’s degree in Chemical and Food Engineering and my Master’s degree in Chemical Engineering and Sustainable Processes at Politecnico di Torino, programs that provided me with the technical and methodological skills necessary to pursue a career in research. During the final year of my Master’s studies, I had the opportunity to participate in the Erasmus program at the Université de Technologie de Compiègne, an experience that allowed me to further deepen my knowledge and grow personally. I carried out my thesis project in the university’s laboratories, where I began to cultivate my interest in research within the chemical-pharmaceutical field.
This PhD project represents a valuable opportunity to expand my expertise in the pharmaceutical sector and to continue developing my passion for research. I am particularly excited about the opportunity to collaborate with Merck, an internationally recognized company known for its commitment to scientific and technological innovation, and I believe that working in such a stimulating environment can significantly amplify the impact of the research. My aspiration is that this research journey can translate into concrete, innovative solutions capable of having a positive impact on society.