- Aiding in data analysis- Consultation concerning relevant methodology- Understanding and communicating results- Implementing methodology (R, SPSS etc.)- e.g.: Descriptive stats, GLMs, SEM, regression, (M)AN(C)OVA, multilevel analysis, clustering

- Statistical programming in applying machine learning to SEM-models- Aiding in Veni-grant funded research project on emotional problems/emotion dysregulation- Systematic review of literature available on the topic

- Developing a Total Error Framework for Sensor Data, in order to identify and classify different sources of error, limiting the data's quality.- Testing the Framework on a huge data set, generated by a large network of sensors (more than 250 million observations)- Exploring indicators of quality, to put eventual limitations in numerical terms- Exploring processing tools on data (such as filters), to mitigate the impact of eventual limitations

- Aiding in Research concerning innovative method for detection of measurement invariance in IRT-models.- Designing simulation studies, manipulating various conditions concerning latent ability, group invariance and IRT-specific assumptions.

- Tutorials and practicals statistics -1st year BSc Psychology students- Assisting in research - statistical programming- Videotaping & editing lectures- Statistical consultation

Teaching English & Computer Skills to undeprivileged children on Bali, while doing research on the attitude of locals towards the presence of temporary volunteers.