About

I am an assistant professor (universitair docent) in the Software Technology Group of Utrecht University.

Brief bio

After studying Mathematics and Computer Science at the University of Utrecht, I did my PhD under supervision of Thorsten Altenkirch at the University of Nottingham's Functional Programming Lab. I worked as a post-doc at Chalmers University of Technology, before moving back to the Netherlands to work at Vector Fabrics, a high-tech startup that used functional programming to facilitate the design of embedded systems. After this brief stint in industry, I returned to academia as a postdoc in Foundations Group at the Radboud University Nijmegen.

A well-known representation of monoids and its application to the function 'vector reverse' (Functional Pearl): Wouter Swierstra. Submitted to JFP.
Generic Enumerations: Completely, Fairly (Functional Pearl): Cas van der Rest and Wouter Swierstra. Submitted.
Algorithmics: Richard Bird‚ Jeremy Gibbons‚ Ralf Hinze‚ Peter Hoefner‚ Johan Jeuring‚ Lambert Meertens‚ Bernhard Moeller‚ Carroll Morgan‚ Tom Schrijvers‚ Wouter Swierstra and Nicolas Wu. IFIP AICT.
Combining predicate transformer semantics for effects: a case study in parsing regular languages: Anne Baanen and Wouter Swierstra. MSFP 2020.
Heterogeneous binary random-access lists (Functional Pearl): Wouter Swierstra. Journal of Functional Programming, 2020, Vol. 30.
A Predicate Transformer Semantics for Effects: Wouter Swierstra and Anne Baanen. ICFP 2019.
More publications...

Heterogeneous binary random access lists: JFP track of ICFP 2020. Remote.
A predicate transformer semantics for effects: A research agenda for formal methods in the Netherlands. Lorentz Center, Leiden, the Netherlands.
A predicate transformer semantics for effects: ICFP 2019. Berlin, Germany.
From algebra to abstract machine: IFIP WG 2.1. Brandenburg, Germany.
Data types à la carte: Cross Functional Amsterdam Meetup. Amsterdam, the Netherlands.
More talks...