Main page

I am an applied mathematician currently located in Turku, Finland. This is my personal homepage.

Who am I? The set of links below will hopefully tell something:

This site also contains a blog, which covers (will cover) several topics both serious and not-so-serious, whose only connecting theme is that I find them worth blogging about.

As of 2021-11-11, this site is live but also still under construction (I am very lazy at updating it).

Recent blog activity:

Blog | Mathematical

Statistics links, August 2022

No further introduction necessary: Here are some statistics links -> (Expect these links posts to be irregular in future. I am clearing my tabs.) Why do tree-based models still outperform deep learning on tabular data? Grinsztajn, Léo, Edouard Oyallon, and Gaël Varoquaux. arXiv, July 18, 2022. https://doi.org/10.48550/arXiv.2207.08815. Comment: The most interesting thing in the paper …

Continue reading Statistics links, August 2022

Impromptu journal club: Sander Greenland and P-values behaving exactly as they should

For the past year, the blog has been on an unscheduled hiatus because I felt I have very little to say. But this afternoon I stumbled upon a good article by Sander Greenland from 2018 [1] which “rehabilitates” P-values somewhat in my eyes. Yes, I have used them in my work, but always felt a …

Continue reading Impromptu journal club: Sander Greenland and P-values behaving exactly as they should

Blog | Personal, General, Other

Reading How to Measure Anything, interlude 2

(Summary in Finnish: Lukupiiri on päättynyt jo jokin aika sitten! Puhtaaksikirjoitetut oppimispäiväkirjamerkinnät ovat olleet tauolla ja palaavat joskus, toivottavasti pian.) Context: This is a quick interlude note in a series of learning diary notes, where I track my thoughts, comments, and (hopefully) learning process while reading How to Measure Anything by D. W. Hubbard together …

Continue reading Reading How to Measure Anything, interlude 2

Reading How to Measure Anything, interlude 1: Bayesian and frequentist inference

(Summary in Finnish: Oppimispäiväkirjamerkinnät jatkuvat hitaasti. Tässä lyhyt lukusuosituslinkki Bayes-päättelystä.) Context: This is a quick interlude note in a series of learning diary notes, where I track my thoughts, comments, and (hopefully) learning process while reading How to Measure Anything by D. W. Hubbard together with some friends in a book club setting. Previous parts …

Continue reading Reading How to Measure Anything, interlude 1: Bayesian and frequentist inference

Reading How to Measure Anything, vol. 2

(Summary in Finnish: Oppimispäiväkirjamerkinnät jatkuvat, hitaasti mutta kumminkin. Aiheena luvut 3 ja 4; luvusta 3 löysin paljon sanottavaa kun aloin kirjoittamaan.) Context: This is a part in a series of reading / study diary notes where I track my thoughts, comments, and (hopefully) learning process while I am reading How to Measure Anything by D. …

Continue reading Reading How to Measure Anything, vol. 2

Subscribe to the new posts newsletter.