CV

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Education

B.S. in Actuarial Mathematics, University of Copenhagen, 2015
M.S. in Actuarial Mathematics, University of Copenhagen, 2017
Ph.D. in Statistics, University of Copenhagen, 2021

Work experience

2022 (Feb-Mar): Research Assistant
- University Of Copenhagen
2018-2021: Researcher PhD Candidate
- University Of Copenhagen
- Fields of research: Statistics, Causality, Machine Learning, and Econometrics
- Supervisor: Professor Jonas Peters
2017-2018: Actuary
- PFA Pension, Copenhagen, Denmark
- Department for Actuarial Innovation and Models
2015-2020: Teaching Assistant
- University of Copenhagen
- BSc course: Stochastic Processes
- MSc courses: Advanced Probability 1, Advanced Probability 2, Discrete Models
- PhD course: Causality
2010-2011: Substitute Teacher
- Hareskovby Primary School
2009: Teaching Assistant
- H.C. Ørsted Gymnasiet (highschool)
- Mathematics homework cafe

Programming Skills

Git
Python
R
SQL

Publications

Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values

Sebastian Weichwald, Martin E. Jakobsen, Phillip B. Mogensen, Lasse Petersen, Nikolaj Thams, and Gherardo Varando (2020). Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123:27-36.

A causal framework for distribution generalization

Rune Christiansen, Niklas Pfister, Martin Emil Jakobsen, Nicola Gnecco, and Jonas Peters (2021). "A causal framework for distribution generalization" IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), forthcoming.

Structure Learning for Directed Trees

Martin Emil Jakobsen, Rajen D. Shah, Peter Bühlmann and Jonas Peters (2022). "Structure Learning for Directed Trees", Journal of Machine Learning Research (JMLR).

Distributional robustness of K-class estimators and the PULSE

Martin Emil Jakobsen and Jonas Peters (2022). "Distributional robustness of K-class estimators and the PULSE" The Econometrics Journal, 25(2), 404-432

Prizes and Awards

2019: Winner of NeurIPS 2019 C4C challenge.
2018: Danish Mathematical Society’s thesis prize for the best mathematical master’s thesis submitted at danish universities in 2017.

Workshops

Spring School on Structural Inference in Statistics, Uder, Germany, March 2019
Machine Learning Summer School (MLSS), London, UK, 2019
Oberwolfach Research Institute for Mathematics (MFO) Workshop on Foundations and New Horizons for Causal Inference, Oberwolfach, Germany, 2019