PeopleofSuperintelligence

Researcher

Kirill Müller

Kirill Müller is a data and computer science researcher and software developer whose R tools connect data analysis, graph algorithms and database systems. After completing a thesis on exact shortest paths in graphs at Karlsruhe in 2006 and a civil engineering PhD on population synthesis at ETH Zurich in 2017, he co-founded the Zurich data science consultancy cynkra with Christoph Sax in 2018. Through R Consortium projects, he designed the testable DBI specification, developed the DBItest suite and implemented the RPostgres and RMariaDB database backends. His open-source work also includes coauthoring the mlfit package for iterative proportional fitting in 2021, contributing to dplyr and tibble, and coauthoring a 2026 PLOS One paper on igraph 1.0 for network analysis. As of October 2026, he is Lead Technology at cynkra, runs the R Consortium's DBI top-level project and maintains duckplyr, a DuckDB-backed version of dplyr.

Now at
cynkra
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Timeline

  1. 2006

    Shortest-path thesis at Karlsruhe

    In 2006, he completes a thesis at Karlsruhe on designing and implementing a hierarchical speed-up technique for computing exact shortest paths in graphs.

  2. 2016–2017

    Building DBI and DBItest

    The R Consortium partially accepts his Improving DBI proposal in early 2016, and in December 2016 he designs a testable DBI specification. By May 2017, he takes over DBI maintenance and develops DBItest, a backend-agnostic test suite with human-readable descriptions of expected behavior.

  3. 2017

    Civil engineering doctorate at ETH Zurich

    He completes his doctoral dissertation, A Generalized Approach to Population Synthesis, earning a Ph.D. in civil engineering from ETH Zurich in 2017.

  4. 2018

    Extending DBI and co-founding cynkra

    In May 2018, he completes the Establishing DBI project by extending the DBI specification and making three open-source database backends, including RPostgres and RMariaDB, compliant with it. With Christoph Sax, he founds cynkra in 2018, a Zurich-based data science consultancy focused on R where he serves as a founder and partner.

  5. 2021

    The mlfit package and DBI maintenance

    With Amarin Siripanich, he coauthors mlfit in 2021, an R package for iterative proportional fitting algorithms on nested structures. In December 2021, he publishes Maintaining DBI, 4/4 and maintains DBI as a common application programming interface between R and database management systems.

  6. By 2024

    R Consortium projects and DuckDB

    By 2024, he receives five R Consortium projects to improve database connectivity and performance in R, plus one project to investigate profiling of R and native code. He also serves in April 2024 as maintainer of the duckdb R package and a core contributor to the tidyverse packages dplyr and tibble.

  7. 2025–2026

    Tidyverse duckplyr and igraph 1.0

    In 2025, he co-leads a $10,000 R Consortium project with David Schoch and Maëlle Salmon to enhance R igraph with C core innovations, and in June 2025 he and Salmon announce duckplyr 1.1.0 as a dplyr backend powered by DuckDB. His network-analysis work continues in August 2026, when he coauthors the PLOS One paper igraph 1.0 enables fast and robust network analysis across programming languages.

  8. As of October 2026

    Lead Technology at cynkra

    In March 2026, he releases duckplyr 1.2.1 on CRAN as an author and maintainer of the DuckDB-backed version of dplyr. As of October 2026, he is Lead Technology at cynkra, has worked at the boundary between data and computer science for more than 25 years, and runs the R Consortium's DBI top-level project.

Career

  1. Since 2024cynkraFounder and Partner, Lead Technology

Education

  1. 2024ETH ZurichPh.D. in Civil Engineering

From the biography.

  1. 11% of AI doctorate holders from 2010 to 2016 founded or led a company or lab by 10 years after graduationIncludes Kirill Müller. We estimate how often AI doctorate holders founded or led a company or lab by 10 years after graduation, how waiting times compare between founders and top jobs, and which universities trained the most.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes ETH Zurich. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes ETH Zurich. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes ETH Zurich. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Sources and credits

Photo: We have no published photo of Kirill Müller yet. Send us a free-licensed photo.

  1. KIT - ITI Algorithmik - Abgeschlossene wissenschaftliche Arbeiten i11www.iti.kit.edu. Checked 22 October 2026.
  2. Halfway through ‘Improving DBI’ – R-DBI r-dbi.org. Checked 22 October 2026.
  3. Summary of the ‘Improving DBI’ project – R-DBI r-dbi.org. Checked 22 October 2026.
  4. Iterative Proportional Fitting Algorithms for Nested Structures • mlfit mlfit.github.io. Checked 22 October 2026.
  5. Building Data Highways: Kirill Müller’s Journey in Enhancing R’s Database – R Consortium r-consortium.org. Checked 22 October 2026.
  6. Done ‘Establishing DBI’!? – R-DBI r-dbi.org. Checked 22 October 2026.
  7. Sponsors r-project.org. Checked 22 October 2026.
  8. Maintaining DBI, 4/4 – R-DBI r-dbi.org. Checked 22 October 2026.
  9. group-1 – R Consortium r-consortium.org. Checked 22 October 2026.
  10. duckplyr fully joins the tidyverse! tidyverse.org. Checked 22 October 2026.
  11. igraph 1.0 enables fast and robust network analysis across programming languages | PLOS One journals.plos.org. Checked 22 October 2026.
  12. CRAN: Package duckplyr cran.r-project.org. Checked 22 October 2026.
  13. Authors and Citation – duckplyr duckplyr.tidyverse.org. Checked 22 October 2026.
  14. About – cynkra cynkra.com. Checked 22 October 2026.
  15. Governance – R Consortium r-consortium.org. Checked 22 October 2026.