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I’m Lukas, a post-doctoral researcher at the University of Glasgow in the lab of Philippe Schyns. I did my PhD at the psychology department of the University of Amsterdam, supervised by Dr. Steven Scholte and Dr. Suzanne Oosterwijk. I’m interested in how techniques and models from machine learning can complement existing methodologies in psychology and cognitive neuroscience. My favorite domain to apply these ideas and techniques is (emotional) face perception. Currently, in my post-doc, I will explore how artificial (deep) neural networks process faces and how this differs from human face processing.

Most of my repositories contain code, packages, or educational material about neuroimaging analysis, machine learning tools, and (emotional) face perception.


  1. NI-edu Public

    Student version of NI-edu courses

    Jupyter Notebook 16 7

  2. introPy Public

    Materials for a 2 week Python course taught at the Research Master Psychology (University of Amsterdam)

    Jupyter Notebook 8 11

  3. Noise ceiling estimation for machine learning models

    Python 1

  4. pybest Public

    PYthon package for Beta ESTimation (of single-trial fMRI data)

    Jupyter Notebook 6 4

  5. Code to convert Philips physiology files ("SCANPHYSLOG") to the BIDS-format, including (estimated) volume triggers.

    Python 4

  6. Notebooks with all kinds of things I wanted to figure out (here for archiving purposes/may be of use to others?)

    Jupyter Notebook 3 2

506 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Mon Wed Fri

Contribution activity

August 2022

Created 4 commits in 2 repositories

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