CV Johan Larsson
28 August 2024
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
- 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
Teaching
Course Development
- 2020–2023
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Data Visualization, Department of Statistics, Lund University
Instructor
- 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
- 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)
Referee Service
- 2024
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ICML, Computo
- 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)
- 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.