I am a passionate consultant, analyst, and educator at Pavlovska Bureau. I am interested in statistical programming, decision analysis, and philosophy. Known for my ability to simplify complex concepts, I bridge the gap between data and decision-making. I also enjoy exploring new ideas and sharing my insights with the community.

• I have recently defended a PhD thesis at Lund University in Sweden.
• I am curating two Peeriodicals: Quantile Statistics Overlay and Bayes@Lund Overlay
• I am occassionally spilling electroic ink on Substack and my blog.

• I'm learning Julia
  • I found Exercism Julia track extremely helpful in practicing a new programming language
  • Check out my experimental package extending Distributions.jl
  • I am interested in learning how to use Julia's powerful optimization frameworks to develop flexible distributions for Bayesian Analysis
• I am developing gilchrist - an experimental R package for constructing quantile functions using Gilchrist rules.
  • The package is a collection of function factories. I use magrittr pipe to process function objects, not data.
  • I use metaprogramming to modify the argument names in user-created functions.
• I am preparing a data literacy course in Python without Pandas and Seaborn
  • Based on modern data analysts stack using plotnine, polars and duckdb
  • Covering environment management with uv and reproducible reports with Quarto
• I am thinking of launching a Misframed podcast
  • Monthly conversations with philosophers, thinkers and researchers about consciousness, frames and decisions
  • Hosted on Youtube and eventually tricking down into Spotify as audio

• Connect with me on Twitter

Thanks for stopping by! Let's connect and explore the fascinating world of statistics and technology together.