~/jan.kudlicka
Associate Professor of Data Science

Jan
Kudlicka

Portrait of Jan Kudlicka

Department of Data Science and Analytics, BI Norwegian Business School. Academic Program Manager (formerly Associate Dean) for the Bachelor of Data Science for Business.

01About

I hold a PhD in Computer Science from Uppsala University (2021).

Before and alongside my academic career, I have worked for more than two decades in the software industry as a developer, system architect and product manager, and I have served on the boards of several IT companies.

02Teaching

I teach programming, databases and data analysis to a wide range of students, from data science majors to students of business administration, marketing, finance and real estate with little or no technical background. I also run faculty-development courses in Python, SQL and data analysis for my BI colleagues.

Open textbook ↗ Data Analysis with Python & SQL An interactive textbook that runs entirely in the browser, including the Explain feature, a step-by-step visualization of Python code execution.
Web application SQL Explorer A personal database sandbox for every student with automatic feedback, and a real-time dashboard for the teacher.

Awards

  • 2024 Pedagogical Innovation Award, BI Norwegian Business School
  • 2017 Pedagogical Award, Uppsala Union of Engineering and Science Students

More about teaching, pedagogical training and awards →

03Research

My research interests are probabilistic programming languages, their applications (especially in evolutionary biology and biodiversity monitoring), and probabilistic inference (especially Monte Carlo methods). I collaborate with KTH Royal Institute of Technology and the Swedish Museum of Natural History.

More about research and publications →

04Selected publications
  1. 2024 Suspension analysis and selective continuation-passing style for universal probabilistic programming languagesLundén, Hummelgren, Kudlicka, Eriksson, Broman · ESOP 2024
  2. 2022 Compiling universal probabilistic programming languages with efficient parallel sequential Monte Carlo inferenceLundén, Öhman, Kudlicka, Senderov, Ronquist, Broman · ESOP 2022 · Distinguished Artifact Award
  3. 2021 Universal probabilistic programming offers a powerful approach to statistical phylogeneticsRonquist†, Kudlicka†, Senderov† et al. · Communications Biology · † joint first authors
  4. 2019 Probabilistic programming for birth-death models of evolution using an alive particle filter with delayed samplingKudlicka, Murray, Ronquist, Schön · UAI 2019

All publications → Talks →

05Roles

Academic

  • Academic Program Manager (formerly Associate Dean), Bachelor of Data Science for Business, BI (2023–)
  • Deputy member (employee-elected), Education Committee (Utdanningsutvalget), BI (2026–)
  • Member, project group evaluating BI's revised bachelor model (2026–)
  • Member, BI working group on the redesign of course evaluations (2025–2026)

Business

  • 73bits AS — owner, independent consultant (part-time)
  • Safir Web AS — chairman of the board
  • Min Kompetanse AS — chairman of the board
  • Codx Holding AS — chairman of the board
06Contact

If you are one of my students, you can also drop by my office B3Y-074.

LinkedIn ↗