2025-08-26
🎓 Doctor of Science Candidate
Wrapping up my DSc at Aalto University.
💼 Consultant for PyMC Labs
Applying Bayesian methods to real-world problems.
🛠️ Open Source
Contributing to Bayesian modelling ecosystem in Python and R.
“Bayesian inference is a method of statistical reasoning that updates our beliefs about unknown quantities using observed data.”
\[ \color{orange}{P( \theta \mid y)} = \frac{\color{blue}{P(y \mid \theta)}\color{red}{P(\theta)}}{P(y)} \]
\[ {P( \theta \mid y)} = \frac{{P(y \mid \theta)}{P(\theta)}}{\color{red}{\displaystyle \int P(y \mid \theta)\, d \theta}} \]
PyMC is a probabilistic programming library for Python that allows users to build Bayesian models with a simple Python API and fit them using Markov chain Monte Carlo (MCMC) methods.
Stan offers a probabilistic programming language for statistical modeling using Bayesian inference.
Interfaces for Python, Julia, R, and the Unix shell.
Daily visitors counts since 2010 1
Hourly rainfall and temperature 2
Q1: How much does rain affect the visitor counts?
Q2: Was there a tiger cub hype?
Q1: How much does rain affect the visitor counts?
Q2: Was there a tiger cub hype?