CV

Contact Information

Name Kevin Bretz
Professional Title MSc student in Computer Science & AI
Email k.o.bretz@umail.leidenuniv.nl
LinkedIn linkedin.com/in/kevin-bretz

Professional Summary

MSc student in Computer Science & AI at Leiden University, graduating January 2027. I’m most drawn to real-time interactive systems, reinforcement learning, and AI that collaborates with people in creative work rather than replacing them, and I’m looking for PhD and research positions in that direction.

Education

  • 2025 - 2027

    Leiden, The Netherlands

    MSc
    Leiden University
    Computer Science — Artificial Intelligence
    • Coursework across: reinforcement learning, deep learning, audio processing, robotics, sports data science, game AI, evolutionary algorithms, AI & art, recommender systems, AutoML, and multi-criteria optimization and decision analysis.
    • Thesis on causal rhythmic and harmonic grounding for real-time music accompaniment, supervised by Prof. Aske Plaat and Dr. Derya Soydaner.
  • 2019 - 2023

    Cologne, Germany

    BSc
    Cologne University of Applied Sciences (TH Köln)
    Media Technology
    • Specialised in image analysis, audio/visual production and computer graphics.
    • Thesis (at KLIPPEL GmbH): “Automated measurement of the directivity of loudspeakers and microphones under non-ideal conditions.”

Experience

  • 2023 - 2024

    Dresden, Germany

    Student Assistant / Data Scientist
    EKFZ — Kather Lab, Dresden University Medical Center
    AI-driven cancer research.
    • Trained and evaluated computer-vision models that predict molecular biomarkers from tumour-tissue scans, with data from collaborating hospitals worldwide. Ran preprocessing and training on HPC clusters with cross-validation. Co-author of the BMC Biology paper above.
  • 2022 - 2023

    Dresden, Germany

    Intern & Bachelor Thesis Student
    KLIPPEL GmbH
    Loudspeaker & acoustic measurement technology.
    • Automated loudspeaker and microphone directivity measurement outside an anechoic chamber, using a robotic polar scanner and impulse-response windowing. Benchmarked against anechoic and near-field holography measurements (IEC 60268).
  • 2021 - 2022

    Cologne, Germany

    Student Assistant
    Cologne Cobots Lab
    Human–robot interaction research lab.
    • Helped develop a customer-service robot for train stations, working on the NLP and on creating, animating, and lip-syncing its avatars.
    • Ran and evaluated user studies.

Teaching

  • 2026 - 2027

    Leiden, The Netherlands

    Teaching Assistant
    Leiden University
    Courses in the Computer Science & AI programme.
    • Robotics (Feb – June 2026).
    • Audio Processing & Indexing, Evolutionary Algorithms, and Introduction to Deep Learning (Sept 2026 – Jan 2027).

Talks

  • Towards Intelligent Instruments. MW:MR 2026, Berlin, 4 Nov 2026.
  • Playing Along in Time and Key. ISMIR 2026 Late-Breaking Demo session (remote), 12 Nov 2026.

Skills

Machine learning: PyTorch, deep learning, reinforcement learning, computer vision, NLP, generative models (VAEs & diffusion), HPC / cluster computing
Programming: Python (primary); also Java, C#, JavaScript
Audio & creative tools: FL Studio, Unity, Blender
Languages: English and German (native), Spanish (B1)

Schools and conferences

  • Una Europa Summer School on AI and Creativity, University College Dublin (June 2026), a programme for doctoral researchers.
  • Conferences: AIMC 2026, Berlin (Sept 2026), MW:MR 2026, Berlin (Nov 2026), ISMIR 2026, Abu Dhabi (virtual, Nov 2026) and SMC 2026, Zagreb (Nov 2026).