Welcome! This webpage contains information about my expertise and professional activity. I am specialized in solving difficult logical problems and implementing the solutions in software. Visual communication plays a key role in many of my projects, and I enjoy designing beautiful and innovative interfaces. I like brainstorming together with a team to find the path towards a good product, and to make technical decisions that are futureproof. I have an academic background in biophysics, pure mathematics, and theoretical computer science.
I started programming over 10 years ago, and since then I learned to work with a range of different languages, libraries, frameworks, tools, and stacks. Some of my favorite programming languages are OCaml, Golang, TypeScript, Dart, and C.
I am a minimalist, and I like designing distinctive and functional interfaces that are responsive, predictable, and easy to learn and understand. For one project I developed a comprehensive WYSIWYG editor with a modular event handling system to make sure that the code is easy to maintain and extend.
I have worked on a number of projects that involved 3D rendering. From this I learned the logic behind the OpenGL and WebGL API, how to accelerate rendering and computation problems via custom shaders, and how to make 3D objects interactive using libraries like THREE.js
. Working on 3D graphics is always a treat.
In my bachelor thesis I got handson experience with machine learning by designing and training a Deep Convolutional Neural Network to perform image segmentation of high resolution microscope scans. I also have experience testing and applying existing machine learning models, which is often a very powerful approach to build new solutions.
One of my academic specializations is formal verification using interactive theorem provers. I developed various formalizations using the Coq Proof Assistant. Developing formal proofs is very challenging, and requires careful thinking about even the smallest logical inferences. Below is an overview of my formalization projects.
Main topic  Repository 

Graph pebbling and zerosum sequences  @bergwerf/pebbling 
Kleene algebras and shortest paths  @bergwerf/star_semiring 
Deduction rules for the later modality  @bergwerf/later_modality 
The SchreierSims algorithm  @bergwerf/permutation_factors 
Arithmetic decidability via automata  @bergwerf/linear_integer_arithmetic 
The CantorBendixon theorem  @bergwerf/settheory 
Brouwer’s continuity principle  @bergwerf/intuitionism 
Thesis  

Title  An Exploration of Graph Pebbling 
Supervisor  Dr. Wieb Bosma 
Group  Pure Mathematics 
Full Text  doi: 10.48550/arXiv.2303.04590 
Resources  Presentation on YouTube, Formalization on GitHub 
Internship  

Title  Circular lists in Iris ∗ deduction rules of ▷ 
Supervisor  Dr. Robbert Krebbers 
Group  Software Science 
Full Text  doi: 10.5281/zenodo.6340500 
Resources  Formalization on GitHub 
Thesis  

Title  Nerve fiber tracing in brightfield images of human skin using deep learning 
Supervisor  Dr. Erik Meijering 
Group  Biomedical Imaging Group Rotterdam 
Full Text  TU Delft Repository 
IEEE Article  doi: 10.1109/ISBI.2019.8759504 
Minor  

Topic  Interactive Environments at the Industrial Design faculty 
Description  During one full semeter we were introduced to Interaction Design for physical environments, and challenged to go through an iterative designing and prototyping procedure in small teams. 
Company  Bergwerf Labs 

post@hbergwerf.nl 

KVK  73224480 
VAT  NL002378274B15 