Imke Mayer
PhD Student in Statistics and Applied Mathematics
École des Hautes Études en Sciences Sociales
École Polytechnique
Introduction
In October 2018 I have started a position as PhD student in statistics and applied maths at EHESS and École Polytechnique under the supervision of Jean-Pierre Nadal and Julie Josse. In 2020 I have been named a Google PhD Fellow in Machine Learning. My current research focuses on the analysis of heterogeneous data with missing values and on causal inference with missing values. I develop methods and models which will be applied on a French database on severely traumatized patients, Traumabase®, to help answer questions related to traumatic brain injury. For this project I work closely with the anaesthesists Tobias Gauss and Jean-Denis Moyer, members of the Traumabase® Group.
Have a look at the activities of our causal inference and missing values group at Inria.
Interests
- Causal Inference
- Missing values
- Machine Learning
- Applications of statistics
Education
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MSc in Applied Mathematics (Mathématiques - Vision - Apprentissage), 2018
École Normale Supérieure Paris-Saclay
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BSc in Applied Mathematics, 2016
Sorbonne Université (former Université Pierre et Marie Curie)
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BSc in Computer Science, 2016
Sorbonne Université (former Université Pierre et Marie Curie)
