Gigapixel images. Natural language. Open code.
I'm Sander, a PhD candidate at Radboudumc,
building open-source vision-language models that help pathologists
analyze whole-slide images and converse about them in natural language.
I'm also researching multi-agent systems and foundation models for pathology.
Big believer in tea and sports, when I'm not stuck in a terminal.
Research & Publications
My research focuses on making AI assistants for pathologists: open, reproducible, and clinically useful. I develop vision-language models that can understand gigapixel whole-slide images and converse about them in natural language. I'm also researching multi-agent systems and foundation models for pathology.
Projects
All code, data, and models are publicly available, because medical AI research should be open.
An open-source vision-language model for computational pathology that enables natural language interactions with whole-slide images. Outperforms MedGemma on organ identification (0.91 vs 0.48), neoplasm detection, and differential diagnosis. Trained on HISTAI-Instruct with 1.1M+ instruction-response pairs.
A local-first project management tool written in Go. Combines human CLI/TUI interfaces with AI agent access through 18 purpose-built MCP tools. Your thoughts stay on your machine. Compatible with Obsidian and other markdown editors.
A domain-agnostic framework for generating synthetic instruction-tuning data at scale using LLMs. Supports DAG-based prompt chaining, multiple inference engines (vLLM, llama.cpp, HuggingFace), and distributed GPU processing.
Full-stack demo for the Kaggle MedGemma Impact Challenge based on ANTONI-Alpha. A FastAPI + Next.js application for interactive gigapixel pathology analysis with integrated whole-slide image viewer.
Curriculum Vitae
experience
PhD Candidate: AI in Computational Pathology
- Researching Large Vision-Language models for whole-slide image analysis
- Building open-source tools for pathology AI (ANTONI-Alpha, Polysome)
- Funded by the 2024 Ammodo Science Award
Software Engineer (GenAI/HALO team)
- Built RAG-powered chatbots serving hundreds of businesses worldwide
- Deployed transformer models in Kubernetes using NVIDIA Triton
- Designed CI/CD pipelines via Azure DevOps, GitHub Actions, FluxCD
- (16+ hours/week)
Medior Backend Software Engineer
- Backend solutions using Java-Spring, deployments through Azure
Development Engineer
- Backend development with Java, Spring Boot, Apache Kafka
- Infrastructure deployments using Azure, Kubernetes (AKS)
- Stakeholder management with business developers