About

I am an universitair hoofddocent (roughly equivalent to associate professor) 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.

The Functional Essence of Imperative Binary Search Trees [bib]: Anton Lorenzen, Daan Leijen, Wouter Swierstra and Sam Lindley. PLDI 2024.
FP²: Fully in-Place Functional Programming [bib]: Anton Lorenzen, Daan Leijen and Wouter Swierstra. ICFP 2023.
Program logics for ledgers: Orestis Melkonian, Wouter Swierstra and James Chapman. Submitted.
Verified technology mapping in an Agda DSL for circuit design [bib]: Joao Paulo Pizani Flor and Wouter Swierstra. IFL '22.
Translation certification for smart contracts [bib]: Jacco Krijnen, Manuel Chakravarty, Gabriele Keller and Wouter Swierstra. SCP, volume 233, March 2024.
A correct-by-construction conversion to combinators (Functional Pearl) [bib]: Wouter Swierstra. JFP, vol 33, 2023.
More publications...

The functional essence of imperative binary search trees: IFIP WG 2.8. Utrecht, the Netherlands.
A correct by construction conversion to combinators: IFIP WG 2.8. Utrecht, the Netherlands.
The functional essence of imperative binary search trees: IFIP WG 2.1. Neustadt an der Weinstraße, Germany.
A well-known representation of monoids and its application to the function “vector reverse”: ICFP. Remote presentation.
Purely functional, fully in-place programming: SWS Seminar. Nijmegen.
More talks...