Our Team

  • Francesca Venturini, co-founder, Principal Investigator Photonics and Data Processing

    • co-Founder

    • Master of Physics University of Florence (Italy)

    • PhD Technische Universität München (Germany) in Raman scattering in supercondutors

    • Projektleiterin Bruker BiospinAG

    • Abteilungsleiterin Mettler-Toledo AG

    • Prof. ZHAW, Physik, Angewandte Optik

    • Founder Toelt GmbH

  • Umberto Michelucci, co-founder, Principal Investigator Scientific Machine Learning

    • co-Founder and chief AI Scientist

    • Master in Theoretical Physics, University of Florence

    • PhD Computer Science and Machine Learning, University of Portsmouth

    • Senior Lecturer at University of Applied Science of Lucerne on Data Science, Computer Vision and Deep Learning

    • Guest Lecturer at St. Gallen University

    • Guest Lecturer at University of Applied Science of Northwestern Switzerland

    • Author of “Applied Deep Learning with TensorFlow – 2nd Edition” (APRESS / Springer 2022)

    • Author of «Applied Deep Learning –A Case-Based Approach to Understanding Deep Neural Networks» (APRESS 2018)

    • Author of «Advanced Applied Deep Learning – Convolutional Neural Networks and Object Detection» (APRESS 2019)

    • Founder Toelt GmbH

    • Google Developer Expert in Machine Learning

  • Safouane El Ghazouali, Principal Investigator Computer Vision

    • Bachelor degree in applied mathematics and physics

    • Master in embedded systems and computer vision

    • Research internship at FACOM in the optimization of advanced automotive control using connected devices

    • Ph.D. in Machine learning applied to 3D metrology:

    • investigation of camera calibration methods

    • proposition of a novel machine learning-based camera calibration

    • validation of this method using a comparative study to traceable laser

    • development of a structured light-based 3D scanner

    • accuracy evaluation of the 3D scanner through comparison to precise and traceable CNN machine

    • application of 3D triangulation and generation of local points cloud for large volume mechanical parts such as aircraft wings and helicopter rotors

    • investigation of point cloud merging using advanced 3D registration techniques

    • registration workflow proposal for structured lighting scans of large volume parts

  • Arnaud Gucciardi, PhD Candidate

    • Early Stage Researcher

    • BSc in pure Maths at the University of Lille, France.

    • 2 years of a Master degree in Computer Science

    • MSc in Bioinformatics in 2021

    • PhD Student in Computer Science at the University of Ljubljana

  • Vladimira Davidik

    • Administrative assistant, HR Responsible

  • Christian-Iona Blaga

    • Intern

    • bachelor's degree in Computer Science from the Technical University of Cluj-Napoca.

    • Currently pursuing Master in Data Science @ ETH (Zürich)

ALUMNI

  • Aitor Egurtzegi, AI Researcher

    • Ph.D. in Computational Psycholinguistics and Machine Learning, University of Zurich

    • M.Sc. in Computational Linguistics, University of Malta

    • M.Sc. in Computational Linguistics, Saarland University

    • B.Sc. in Linguistics, University of Barcelona

  • Noah Hermann, Intern

    • Bachelor of Science in Artificial Intelligence and Machine Learning (HSLU)

  • Noah auf Der Maur, Intern

    • Wirtschaftsingenieur mit Vertiefung Wirtschaftsmathematik (ZHAW)