Posts

In 2025, I read 113 papers and 16 non-technical books. 113 papers is slightly more than my previous record (99 papers in 2024). In 2026, I want to read…

In 2024, I read 99 papers and 21 non-technical books. 99 papers is slightly more than my previous record (87 papers in 2023), while 21 books is slightly less…

In 2023, I read 87 papers and 26 non-technical books. 87 papers is slightly more than my previous record (82 papers in 2022), and I’ve never even been remotely close to reading 26 books in a year. Deciding to read more books is definitely…

Since I started my PhD almost five years ago, I have categorized, annotated and written short comments for all research papers I read in detail. I share this publicly in a GitHub repository, and recently reached 300 read papers. To mark this milestone, I decided to share some thoughts on why I think it’s important to read a lot of papers, and how I organize my reading. I also compiled some paper statistics, along with a list of 30 papers that I found particularly interesting…

We have created a video in which we try to explain how machine learning works and how it can be used to help doctors. The explanation is tailored to grade 7-9 students, and the idea is that you only should need to know about basic linear functions (straight lines) to understand everything.

When I first got interested in deep learning a couple of years ago, I started out using TensorFlow. In early 2018 I then decided to switch to PyTorch, a decision that I’ve been very happy with ever since…

Please feel free to leave any type of anonymous feedback on my presentation at the following link: https://forms.gle/pfkhxdRzEE7ETmcs8

[Jul 31, 2026] Accepted papers: (1) Semantic Self-Distillation for Language Model Uncertainty has been accepted to UAI 2026, (2) BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence to COLM 2026, and (3) Efficient Image Restoration with State-Dependent Forward Diffusion to TMLR. [Jul 23, 2026] Updated preprint: Evaluation and Prognostic Validation of Deep Regression Models for WSI-Based Gene-Expression Prediction [arXiv] [project]. [Apr 29, 2026] New preprint: Benchmarking Pathology Foundation Models for Breast Cancer Survival Prediction [arXiv] [project].