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      Logo of the University of Applied Sciences and Arts Northwestern Switzerland
      • Degree Programmes
      • Continuing Education
      • Research and Services
      • International
      • About FHNW
      DeEn
      Locations and ContactFHNW LibraryMedia Relations

      Prof. Dr. Daniel Perruchoud

      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

      Projects

      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)

      Biography
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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

      LinkedIn

      Prof. Dr. Daniel Perruchoud

      Prof. Dr. Daniel Perruchoud

      Lecturer for Data Science

      Telephone

      +41 56 202 83 41 (undefined)

      E-mail

      daniel.perruchoud@fhnw.ch

      Address

      FHNW University of Applied Sciences and Arts Northwestern Switzerland School of Computer Science Bahnhofstrasse 6 CH-5210 Windisch

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