Imke Mayer
PhD, Research Scientist in Statistics and Applied Mathematics
Charité – Universitätsmedizin
Inria
Introduction
In October 2021 I joined the Institute of Public Health at the Charité Universitätsmedizin Berlin, to work on the NeTKoH project with Innovation Fund (administered by the Federal Join Committee on strengthening care provision), and it has the goal to introduce and assess neurological teleconsultations with primary care physicians to enhance access to specialist care in rural areas. I’m also an associate researcher in the PreMeDICaL team at Inria Sophia Antipolis.
In September 2021 I completed my PhD in statistics and applied maths at EHESS and École Polytechnique under the supervision of Jean-Pierre Nadal and Julie Josse. During my PhD I was awarded a Google PhD Fellowship in Machine Learning and I have developed statistical methods and models to help answer questions related to traumatic brain injury. For the TrauMatrix project I have worked closely with the anaesthesists Tobias Gauss and Jean-Denis Moyer.
Here are my PhD dissertation and the slides of my PhD defense that took place on September 20th, 2021.
My current research focuses on causal inference for personalized medicine, in particular treatment effect estimation with missing values, and treatment effect generalization in integrative studies.
Have a look at the activities of the causal inference and missing values group at Inria.
Interests
- Causal Inference
- Missing values
- Machine Learning
- Applications of statistics
Education
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PhD in Mathematics and Computer Science, 2021
École des Hautes Études en Sciences Sociales
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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)
