CV Johan Larsson
1 June 2025
Professional Experience
- 2024–present
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Thiele Postdoctoral Researcher, Department of Mathematical Sciences, Copenhagen University
- 2018–2024
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PhD Student, Department of Statistics, Lund University
Education
- 2018–2024
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PhD in statistics, Department of Statistics, Lund University
Title: “Optimization and Algorithms in Sparse Regression”
Supervisors: Jonas Wallin and Malgorzata Bogdan
Awarded best PhD thesis in statistics in Sweden in 2024 by the Cramér Society and best PhD thesis at Lund School of Economics and Management in 2024
- 2016–2018
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Bachelor’s degree in statistics, Department of Statistics, Lund University
Title: “eulerr: Area-Propotional Euler Diagrams with Ellipses”
Supervisor: Peter Gustafsson
Publications
Conference and Journal Articles
Theses
Invited Talks
- Mar 24, 2025
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Optimization and Algorithms in Sparse Regression: A Summary of My Thesis
Cramér Society Mini-Conference
- Nov 13, 2024
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The Choice of Normalization Directly Affects Feature Selection in Regularized Regression
Danish Statistical Society (DSTS) Fall Meeting
- Apr 10, 2024
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Normalization for class-imbalanced binary features in regularized regression
Uppsala Statistics Seminar Series
- Oct 27, 2021
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Designing a Distance-Based Course in Data Visualization: Lessons Learned
Cramér Society Fall Meeting
- Nov 16, 2021
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The Hessian Screening Rule
Seminar at the Faculty of Pure and Applied Mathematics, Wrocław University of Science and Technology
- Sep 21, 2021
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The Hessian Screening Rule and Adaptive Lasso Paths
Statistics Seminar at the Department of Mathematical Statistics, Chalmers/Gothenburg University
- Sep 9, 2021
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Look-Ahead Screening Rules for the Lasso
EYSM 2021
- May 8, 2020
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The Strong Screening Rule for SLOPE
Statistical Learning Seminar
- Jun 18, 2018
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A Case Study in Fitting Area-Proportional Euler Diagrams with Ellipses Using eulerr
SetVR 2018
Teaching
Course Development
- 2020–2023
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Data Visualization, Department of Statistics, Lund University
Instructor
- 2024–now
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Computational Statistics, Department of Mathematical Sciences, University of Copenhagen
- 2020–2023
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Data Visualization, Department of Statistics, Lund University
- 2019–2021
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Statistics: Basic Course, Department of Statistics, Lund University
Teaching Assistant
- 2025–now
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Project in Statistics, Department of Mathematical Sciences, University of Copenhagen
- 2021
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Introduction to R Programming, Department of Statistics, Lund University
- 2019–2021
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Statistics for Fire Engineers, Department of Statistics, Lund University
- 2019–2020
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Data Mining and Visualization, Department of Statistics, Lund University
- 2019
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Artificial Intelligence and Deep Learning, Department of Statistics, Lund University
Supervision
- 2023
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Bachelor’s Thesis, Department of Statistics, Lund University.
Student: Elias Gullberg
Title: Weather Factors and E. coli Concentration in Barnviken, Malmö – A Linear Mixed Model Approach
- 2023
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Bachelor’s Thesis, Department of Statistics, Lund University.
Students: Marcus Stolz, Jonathan Christopher
Title: Exploring the Impact of Pseudo and Quasi Random Number Generators on Monte Carlo Integration of the Multivariate Normal Distribution
- 2022
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Master’s Thesis, Data Analysis and Business Analytics, Lund University
Students: Gustavo Lemos Borba, Stella Sofia Sologaistoa Betancourt
Title: Interactive Network Visualization of Insurance Portfolios
- 2019–2020
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Google Summer of Code
Students: Qincheng Liu (2019), Akarsh Goyal (2020)
Awards
- 2025
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Lund School of Economics and Management award for best PhD thesis in 2024
- The Cramér Society award for best PhD thesis in statistics or mathematical statistics in 2024
Referee Service
- 2024
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ICML, Computo, AISTATS, Annals of Statistics
- 2023
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Journal of Computational and Graphical Statistics
- 2022
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NeurIPS, ICML
- 2021
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NeurIPS
Comittee Service
- 2020–2022
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Statistical Learning Seminar Series, Main Organizer
Software
- SLOPE
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Generalized linear models penalized with the sorted L1 norm
Author and maintainer
R package (https://CRAN.R-project.org/package=SLOPE) Python package (https://pypi.org/projects/sortedl1) Julia package (https://github.com/jolars/SLOPE.jl) C++ library (https://github.com/jolars/libslope)
- benchopt
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Reproducible, efficient and collaborative optimization benchmarks
Contributor
Python package (https://benchopt.github.io)
- eulerr
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Area-propotional Euler diagrams with ellipses
Author and maintainer
R package (https://CRAN.R-project.org/package=eulerr)
Contracted Work
- 2021
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WHO Antimicrobial Resistance Dashboard
Contracted work to develop and deploy a visualization dashboard for WHO’s Antimicrobial Resistance team in Europe.