Lukas Pfannschmidt

Lukas Pfannschmidt

PhD Candidate

CITEC Machine Learning Group


Finishing PhD candidate with 5 years of experience dedicated to efficient and maintainable solutions to interesting problems. Studies of bioinformatics and machine learning with focus on feature selection. Very familiar with handling and representing diverse data.


  • Machine Learning
  • Software Engineering
  • Decentralized Applications
  • Mobility Solutions


  • PhD in Machine Learning, planned 2020

    Bielefeld University

  • B.Sc & M.Sc. in Bioinformatics and Genome Research, 2014 & 2016

    Bielefeld University



Research Associate

CITEC, Prof. Hammer’s Machine Learning group

Oct 2018 – Present Bielefeld, Germany

Responsibilities include:

  • Research ( Modelling & Analysis )
  • Development and Deployment
  • Scientific writing and presentation

Guest Researcher

SFU, Prof. Ester’s Datamining group

May 2018 – Sep 2018 Vancouver, Canada

Responsibilities include:

  • Research ( Feature Representation, Non-linear Models)
  • Scientific writing and presentation

Research Associate

International Research Training Group GRK 1906

Oct 2015 – Apr 2018 Bielefeld, Germany

Responsibilities include:

  • Research & Development
  • Scientific writing and presentation
  • Teaching

Teaching Assistant

Genome Informatics group

Apr 2014 – Oct 2016 Bielefeld, Germany

Responsibilities include:

  • Teaching

Technical Lead

Endoscope App Team Competition - Winner Team

Apr 2013 – Nov 2013 Bielefeld, Germany

Project Goal: Android App for medical professionals handling and washing endoscopes in a clinical setting.

Developed in competitive setting with the endoscope manufacturer (Miele) as client. Focus on agile development with changing requirements.

Responsibilities include:

  • Software architecture
  • Task delegation
  • DevOps
  • Development


(2020). Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information. Neurocomputing.


(2019). FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration. 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).