paul lodder


I'm a (freelance) data engineer/scientist with a MSc in Artificial Intelligence (University of Amsterdam), and passionate about research into the therapeutic potential of psychedelics.

I obtained my BSc at Amsterdam University College, where I focused my studies on biomedical sciences and computer science. Since graduating in 2018 I have been working as a data scientist and data engineer alongside my MSc studies.

I'm also an emacs and org-mode evangelist.


Some recent (both on-going and no longer active) projects in no particular order.

the scraper factory
Building LLM-powered web scraper factories, automating the process of data extraction from the web. (with July Jagt)
Subgrant from Open State Foundation. The debot is focussed on finetuning Large Language Models (LLMs) Bloom and Alpaca on Dutch Parliamentary debate. (with Pim Meerdink)
Combined some open datasets to compute how much sun the outside seating areas of different bars and restaurants in the Netherlands receive. Although we started zonopjebakkes in Amsterdam, the site gained national traffic and over 3500 terraces have been added by users since. Covered on national television, radio, and newspapers. (with July Jagt and Rob Schilder)
Made all election programs for the 2023 Dutch Elections easily and semantically searchable using AI and PDF parsing. Covered by (among others) NOS and AT5. (with Khaled Tamimy and July Jagt)
Developing scalable software to have creators gain insight and control of their royalty income.

research I contributed to

  • Herzog, R., Mediano, P. A. M., Rosas, F. E., Lodder, P., Carhart-Harris, R., Sanz-Perl, Y., & Tagliazucchi, E. (2023). A whole-brain model of the neural entropy increase elicited by psychedelic drugs. Nature Scientific Reports.
  • van de Pol, I., Lodder, P., van Maanen, L., Steinert-Threlkeld, S., & Szymanik, J. (2021). Quantifiers satisfying semantic universals are simpler.
  • Bruggeman, J. W., Irie, N., Lodder, P., van Pelt, A. M. M., Koster, J., & Hamer, G. (2020). Tumors Widely Express Hundreds of Embryonic Germline Genes. Cancers, 12(12), 3812.
  • Bruggeman, J. W., Koster, J., Lodder, P., Repping, S., & Hamer, G. (2018). Massive expression of germ cell-specific genes is a hallmark of cancer and a potential target for novel treatment development. Oncogene, 37(42), 5694–5700.