Klaus-Michael Lux

Klaus-Michael Lux

Klaus-Michael Lux

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About Me

Background

I studied Artificial Intelligence and Data Science at Radboud Universiteit Nijmegen in the Netherlands. My aim is to help building language processing systems that allow humans to focus on what they're good at, understanding and interacting with language, while not having to focus anymore on what they're bad at, sifting through a vast amount of content with no clear picture of what is out there.

Personal Information

Resume

Experience

  • AI Platform Engineer

    Dataport AöR

    Maintaining and expanding an enterprise AI platform based on Kubernetes.

    Apr 2024
  • Trainee

    Dataport AöR

    Understanding the ins and outs of a large public IT company.

    Mar 2024 Oct 2022
  • Data scientist

    Sparemin, Inc.

    Content analysis and recommendation systems for audio data.

    Sep 2022 Jan 2021
  • AI application researcher

    CWZ hospital, Nijmegen

    How can we use AI and NLP to improve the implementation of evidence-based medicine in clinical practice?

    Oct 2021 Jan 2021
  • Data Science Thesis Intern

    Radboudumc

    Automatically detecting neuromuscular disorder in ultrasound images. A description of the project can be found on the AI for Health page.

    Aug 2020 Mar 2020
  • AI Thesis Intern

    FD Mediagroep

    Investigated the linguistic skills of multiple neural summarization systems and how they affect the factual correctness of generated summaries. Maya Sappelli, Martha Larson and I published a paper in Eval4NLP on the subject.

    Mar 2020 Aug 2019
  • Data Science Intern

    FD Mediagroep

    I worked on neural audio and text segmentation for the BNR SmartRadio app. Oberon Berlage, David Graus and I published an ICASSP paper that shows how audio features can help to find better clips in radio content.

    Jun 2019 Feb 2019
  • Teaching Assistant

    Radboud Univiersiteit Nijmegen

    For the course Text and Multimedia Mining. Grading coursework, technical support for students. I designed a homework assignment centering on text analytics on Twitter and offered a tutorial on best practices for text classification.

    2020 2018

Education

  • MSc Computing Science

    Radboud Universiteit Nijmegen, The Netherlands

    Data Science

    2020 2017
  • MSc Artificial Intelligence

    Radboud Universiteit Nijmegen, The Netherlands

    Web and Language Interaction

    2020 2017
  • BSc Cognitive Science

    Universität Osnabrück, Germany

    Specialisation modules: computational linguistics, artificial intelligence, computer science, cognitive psychology and neuroscience. Bachelor's thesis on document categorization in the legal domain.

    2017 2013

Coding skills

Python

Java

Matlab

SQL

R

Frameworks & Tools

pandas

scikit-learn

keras

PyTorch

Docker