First post

Ah, the classical “first post”, often the only post in the blog. Let us hope this is not the case.

I feel like I should write down some things about my side projects. I tried using Medium, but it has two significant problems: the platform feels too monetized, and it really doesn’t work very well together with LaTeX. Since I like to think a lot in mathematical terms, having good LaTeX support is just essential.

This website is made using Jekyll and hosted on github-pages. I don’t know how good this is, but we shall see. At least like it better.

I hope to shortly make a couple posts about recent projects:

Bayesian analysis of exam grades (I posted this over on Github, but since then I have done significant work on the subject)
Analysis of moodle-logs
Analysis of my last.fm scrobble history
Analysis of ISU figure skating scores, and proving statistically the fact that judging is biased.
How to scrape data from pdf files (using the ISU scores as example)

Keep reading

Introducing the IJ Programming Language

15th of January, 2025

I made an array programming language as a language extension to Rust

coding

My self-hosting journey

1st of August, 2024

Self-hosting your own cloud services not only saves money, it is also a great way to learn

website tools

On Kalman filters and how I made them 20x faster using Rust

7th of October, 2023

In my first dive into Rust, I implemented an unscented Kalman filter in and made it 20x faster than the equivalent Python implementation.

website data-science tools

Dev log: interactive website dashboard

1st of May, 2023

I made an interactive dashboard for this website, and here is the story of how I did it.

website data-science tools

My thesis in a nutshell

26th of February, 2023

Read this blog post if you're curious what I worked on during my PhD!

math

GMRES: or how to do fast linear algebra

29th of March, 2022

Linear least-squares system pop up everywhere, and there are many fast way to solve them. We'll be looking at one such way: GMRES.

mathematics linear-algebra code

Machine learning with discretized functions and tensors

10th of March, 2022

We recently made a paper about supervised machine learning using tensors, here's the gist of how this works.

machine-learning mathematics linear-algebra code

Low-rank matrices: using structure to recover missing data

26th of September, 2021

A lot of data is naturally of 'low rank'. I will explain what this means, and how to exploit this fact.

machine-learning mathematics linear-algebra code

How to edit Microsoft Word documents in Python

29th of August, 2021

Parsing and editing Word documents automatically can be extremely useful, but doing it in Python is not that straightforward.

data-mining code

Blind deconvolution #4: Blind deconvolution

31st of May, 2021

Finally, let's look at how we can automatically sharpen images, without knowing how they were blurred in the first place.

machine-learning computer-vision

Blind Deconvolution #3: More about non-blind deconvolution

2nd of May, 2021

Deconvolving and sharpening images is actually pretty tricky. Let's have a look at some more advanced methods for deconvolution.

machine-learning signal-processing computer-vision

Blind Deconvolution #2: Image Priors

9th of April, 2021

In order to automatically sharpen images, we need to first understand how a computer can judge how 'natural' an image looks.

machine-learning signal-processing computer-vision

Blind Deconvolution #1: Non-blind Deconvolution

13th of March, 2021

Deconvolution is one of the cornerstones of image processing. Let's take a look at how it works.

machine-learning signal-processing computer-vision

Time series analysis of my email traffic

13th of February, 2021

I have 15 years worth of email traffic data, let's take a closer look and discover some fascinating patterns.

data-science statistics

Modeling uncertainty in exam scores

9th of November, 2020

We use exams to determine how much a student knows, but exams aren't perfect. How can we estimate the uncertainty in students' exams scores?

data-science statistics education

How big should my validation set be?

26th of August, 2020

Cross validation is extremely important, but how should we choose the size of our validation and test sets?

data-science statistics

How do my music preferences evolve?

12th of August, 2020

I use last.fm to track my music listening. Let's look at my data to discover how my musical preferences evolve over time.

data-science music

Is my data normal?

10th of August, 2020

Normally distributed data is great, but how do you know whether your data is normally distributed?

data-science statistics

Bias in figure skating judging

20th of June, 2020

Judging in figure skating is biased. Let's use data science to figure out just how bad the issue is.

data-science