I am an AI researcher. My goal is to help automate vision. Can we build models that curate their own data, extract their own supervision, and adapt on the fly to changes in the real world?
I completed my PhD in computer vision at the University of Amsterdam’s Qualcomm Labs, supervised by Arnold Smeulders. Since then, I’ve been working in industry as a research engineer.
My work connects self-supervised visual representation learning, continual adaptation, and vision-language learning — from academic research to applied AI.
Our work at Agendia on AI-driven digital pathology for the 70-gene recurrence signature was presented at ESMO 2026, the most prestigious conference in Oncology.
I joined Greyparrot as a Senior Research Engineer.
October 2026 — present
Senior Research Engineer · Industrial visual intelligence
2023 — October 2026
ML Researcher · Biomarker Discovery
2022 — 2023
ML Researcher · Continual Pretraining Agents
March 2021 — January 2022
Research Intern · Multimodal Learning
2017 — 2022
PhD Researcher · Deep Learning for Vision
At Qualcomm Labs, supervised by Arnold Smeulders.
I want visual models to take a more active role in their own learning: choosing useful data, learning from new observations, and adapting efficiently as conditions change. This goal connects my work in self-supervised, continual, and vision-language learning with applications from medical diagnostics to industrial visual intelligence.
ESMO 2026 · LBA20 (Oral)
Our work at Agendia explores predicting recurrence risk directly from routine whole-slide images of breast cancer tissue, using supervision from the 70-gene signature.
Research is a shared endeavour. I’m fortunate to have worked with and supervised these thoughtful people.
2023-2024
2022-2023
2022-2023
2020-2021
2019-2020
Away from research, I make visual memories. A few places, small observations, and moments worth keeping.
