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.

A Functional Correspondence between Top-down and Bottom-up Tree Algorithms: Fast and Correct Fully In-Place Functions with First-Class Constructor Contexts and Zippers: Anton Lorenzen, Daan Leijen, Wouter Swierstra and Sam Lindley. MSR Tech Report, MSR-TR-2023-28.
FP²: Fully in-Place Functional Programming: 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: Joao Paulo Pizani Flor and Wouter Swierstra. IFL '22.
Translation certification for smart contracts: Jacco Krijnen, Manuel Chakravarty, Gabriele Keller and Wouter Swierstra. Submitted to SCP, 2022.
Trends in Functional Programming: Wouter Swierstra and Nicolas Wu (editors). LNCS, volume 13401.
More publications...

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.
Purely functional, fully in-place programming: Algorithms Seminar. Utrecht.
How to believe a verified program?: Unsound Workshop. Remote.
A correct-by-construction conversion to combinators: IFIP WG 2.1. Online.
More talks...