On the Use of Random Forest for Two-Sample Testing
Hediger et al. (2019). "On the Use of Random Forest for Two-Sample Testing. " arXiv preprint.
Education
- B.S. in Mathematics, Ecole Polytechnique Fédérale de Lausanne (EPFL), 2015
- M.S. in Applied Mathematics, Ecole Polytechnique Fédérale de Lausanne (EPFL), 2017
- Ph.D in Statistics, Eidgenössische Technische Hochschule Zürich (ETHZ), 2021 (expected)
Work experience
- 2016-2017 (6 months): Internship in Biostatistics at Nestlé (NRC Lausanne).
- statistical classical clinical trials.
- machine learning for health device.
- 2017-2018: Chief Scientific Officer (CSO) at Effixis.
- co-development of the SSTtool (R based software) for FINMA implementing the Swiss Solvency Test 2019 for the insurance industry.
- 2019-now: Quantitative Consultant at Effixis.
Data Science Competition:
- 2018: Data Mining Cup 2018, 1st position.
- 2018: G-Research Financial Forecasting Challenge (rank 22/406).
- 2017: Data Mining Cuo 2017, 1st position.
- 2016: Data MIning Cup 2016, 10th position.
- 2015: Data Mining Cup 2015, 4th position.
Programming Skills
- R
- Python
- C++
- Scala
- SQL
Publications
Novel approach to visualize the inter-dependencies between maternal sensitization, breast milk immune components and human milk oligosaccharides in the LIFE Child cohort
Michel et al. (2020). "Novel approach to visualize the inter-dependencies between maternal sensitization, breast milk immune components and human milk oligosaccharides in the LIFE Child cohort. " PLoS ONE, Volume 15.
High Probability Lower Bounds for the Total Variance Distance
Michel et al. (2020). "High Probability Lower Bounds for the Total Variation Distance. " arXiv preprint.
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression
Michel et al. (2020). "High Probability Lower Bounds for the Total Variation Distance. " arXiv preprint.
Talks
DATA SCIENCE : Outil de décision d’avenir
Talk at EPFL, Convention Center, Lausanne, Switzerland
Data Mining in Action
Invited speaker in a lecture. at Université de Genève, Genève, Genève, Switzerland
Data Mining in Action
Invited speaker in a lecture. at Université de Genève, Genève, Genève, Switzerland