Prof. Dr. Daniel Perruchoud

    Activities at FHNW

    Lecturer for Data Science at the Institute for Data Science FHNW

    Teaching

    At Bachelor of Science in Data Science

    • Exploratory data analysis,
    • Applied in Machine Learning
    • Natural Language Processing
    • Supervisor of Bachelor project theses

    At Master of Science in Engineering MSE

    • Advanced Natural Language Processing
    • Supervisor of Master students

    Research

    • Natural Language Processing applications
    • AI-based information retrieval
      Machine Learning applications for process and product optimization

    Profile

    2025: LUKE App for visual cloth discrimination (in progress, Innosuisse funded)

    2025: Optimization of the production process of current and voltage transformers with machine learning (in progress, Company & HTZ funded)

    2025: AI-based Solutions for FtO Assessment in Technical Patent Searches (in progress, Company & HTZ funded)

    2025: Use of Natural Language Processing and Generative Artificial Intelligence for efficient information extraction (in progress, Company funded)

    2024: “AI Tutor for Students” - Efficient Information Extraction with Retrieval Augmented Generation (FHNW funded)

    2024: “RockPulse” - Sensing precursors of landslide accelerations in ambient vibration data (Innosuisse funded)

    2024: “AI-Selfie@ENTER” - Developing personalized selfies with generative AI (FHNW funded)

    2024: Understanding Client Sentiment with NLP from Small Data (Company & HTZ funded)

    2024: Introduce data-driven development and operation in device qualification (Innosuisse funded)

    2022: Enhancing DSM’s Third Party Patent Monitoring with Machine Learning and Natural Language Processing (Company funded)

    2021: ML-based visual quality monitoring for Hybrid Photon Counting device manufacturing (Innosuisse funded)

    2020: Condition Monitoring and Predictive Maintenance for Wind Turbines Developed on Massive Wind Park Sensor Data (Innosuisse funded)

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    1986-1991

    Diploma in theoretical solid state physics (dipl. phys. ETH Zürich, Switzerland)

    1992-1996

    PhD in the domain of climate change impact studies (Dr. sc. nat. ETH Zürich, Switzerland)

    1997-1999

    Research Associate at the Swiss Federal Office for the Environment

    1999-2000

    Analytical Consultant at NCR / Teradata Wallisellen, Switzerland

    2000-2008

    Data Scientist at UBS Switzerland AG Zürich, Switzerland

    2009-2018

    Senior Data Scientist and Team Lead at UBS Switzerland AG Zürich, Switzerland

    Since 2019

    Professor at FHNW in Brugg-Windisch, Switzerland

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