Herman Bergwerf

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 future-proof. I have an academic background in biophysics, pure mathematics, and theoretical computer science.

LinkedIn GitHub Resume



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.

UI/UX Design

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.

3D Graphics

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.

Machine Learning

In my bachelor thesis I got hands-on 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.

Formal Verification

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 zero-sum sequences @bergwerf/pebbling
Kleene algebras and shortest paths @bergwerf/star_semiring
Deduction rules for the later modality @bergwerf/later_modality
The Schreier-Sims algorithm @bergwerf/permutation_factors
Arithmetic decidability via automata @bergwerf/linear_integer_arithmetic
The Cantor-Bendixon theorem @bergwerf/settheory
Brouwer’s continuity principle @bergwerf/intuitionism


MSc. Mathematical Foundations of Computer Science

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
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

BSc. Nanobiology

Title Nerve fiber tracing in bright-field 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
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
Email post@hbergwerf.nl
KVK 73224480
VAT NL002378274B15