Noze
Laurianne Truffault has an extensive work experience in the field of engineering and scientific research. Laurianne most recently worked as an Advanced Materials Engineer at Noze since February 2022. Prior to that, they served as an Engineer at CNAM, where they worked from November 2017 to October 2021. During the same period, they also worked as an Engineer at the PIMM laboratory, joint research unit ENSAM-CNRS-CNAM. Before that, they worked as a Scientific Consultant in Innovation Funding at FIDAL from July 2017 to October 2017.
Earlier in their career, Laurianne was a Post-doctoral Researcher at UNESP from October 2011 to March 2016. In this role, they conducted research on organic-inorganic hybrids for biomedical applications and collaborated with the Department of Drugs and Medicines at the School of Pharmaceutical Sciences, UNESP, Araraquara. Laurianne received various scholarships during this period from organizations such as the Brazilian council for scientific and technological development (CNPq), UNESP Rectorate of research (PROPe), and Sãntilde;o Paulo research foundation (FAPESP).
Prior to their role at UNESP, Laurianne worked as a Temporary Teaching and Research Assistant at Université d'Orléans. Laurianne held this position from December 2010 to August 2011 and was involved in research projects on silicated glasses and their coloration. Additionally, they taught various subjects and supervised mentored projects at the University Institute Technology (IUT) of Chartres and the Multidisciplinary Institute of Research, Systems Engineering, Mechanical, Energetics (PRISME Institute, Glasses group).
Laurianne also has experience as a PHD Student in Joint Supervision at Université d'Orléans and the Institute for Superconducting and Electronic Materials (ISEM), University of Wollongong. Laurianne worked on synthesizing and characterizing cerium dioxide- and iron dioxide-based nanoparticles for UV filtration in sunscreens. Their PhD research focused on the synthesis of nanoceramics, structural characterizations, and thermal analysis. Laurianne also collaborated with the Laboratory of Industrial Pharmacy and Cosmetology, University of Nantes. During their PhD, they received a scholarship co-funded by the Centre region (France) and the University of Orléans.
Laurianne Truffault has a strong educational background in materials science. Laurianne obtained a Doctor of Philosophy (PhD) degree in Materials Science from both the University of Wollongong (2009-2010) and Université d'Orléans (2007-2010). Prior to their doctoral studies, they pursued an Engineer's degree in Materials Science from Université de Technologie de Troyes, along with a Master's degree in Sciences and Technologies, specializing in Optics and Nanotechnologies from the same university. The specific start and end years for their undergraduate degrees were not provided.
Noze
Noze (formerly known as Stratuscent) is the global leader in digital smell detection. Using technology built on a foundation of NASA-patented innovations deployed on the International Space Station, Noze created the world’s first and only digital nose that can detect, identify and interpret odors in everyday environments with incredible accuracy.This creates groundbreaking opportunities across multiple sectors and industries, where digital olfaction has high-value applications ranging from medical diagnostics and food manufacture & storage to public safety, air intelligence, and smart consumer electronics.Our platform is an end-to-end solution that combines a neural network-based AI engine with a cutting-edge digital olfaction sensor based on exclusive NASA patents. The sensor decodes the environment as a whole, isolating signal from background scent noise and creating a unique ‘scentprint’ for each individual chemical (VOC), chemical mixture, or smell. The AI engine decodes data from the sensor to identify exactly what is in the air, in what quantity, and how it’s evolving. This continuous real-time analysis enables scent recognition in under a second with incredible accuracy. And each time the AI engine learns a new smell, every sensor in the world learns it too. Our APIs can be seamlessly integrated with new or existing user interfaces (UIs), enabling real-time access to data, analytics, and alerts. Meanwhile, a secure and encrypted communication protocol protects all the data flows within our platform and its ecosystem.