👨‍🔬 Research projects

Interests

• Public Health

• Environmental health

• Causal inference

• Sociology

• Representation learning

Currently, I focus on sick leaves determinants in France and the effects of pesticide on public health.

Research projects

All papers available on my Google Scholar page

Leveraging hospital data warehouse and generative artificial intelligence to automate quality of care indicators: imagery delay for stroke

• Oral presentation at EMOIS 2025 on automatic quality of care.

Using SNDS data to contextualize the use of early access drugs: Development of an automated report

• Oral presentation at EMOIS 2025 on on early access drugs.

Causal thinking for decision making on Electronic Health Records: why and how

• Publication: Doutreligne, M., Struja, T., Abecassis, J., Morgand, C., Celi, L. A., & Varoquaux, G. (2025). Step-by-step causal analysis of EHRs to ground decision-making. PLOS Digital Health, 4(2), e0000721.

• Preprint (with supp materials): Doutreligne, M., Struja, T., Abecassis, J., Morgand, C., Celi, L. A., & Varoquaux, G. (2023). Causal thinking for decision making on Electronic Health Records: why and how.

• Oral presentation at Clalit’s innovation team, 2023.

Review of Hospital Data Warehouse in France

• Publication: Doutreligne M, Degremont A, Jachiet PA, Lamer A, Tannier X (2023) Good practices for clinical data warehouse implementation: A case study in France. PLOS Digital Health

• Oral presentation at the French Epidemiogy congress, Emois: Doutreligne, M., Degremont, A., Jachiet, P. A., Lamer, A., & Tannier, X. (2023). Panorama des entrepôts de données hospitaliers dans les CHU/CHR de France. Revue d’Épidémiologie et de Santé Publique, 71, 101463.

• Extended report for the French High Authority of Health

How to select predictive models for causal inference?

• Publication: Doutreligne, M. & Varoquaux G. (2025). How to select predictive models for causal inference?. Gigascience.

• Preprint (with supp mat): Doutreligne, M. & Varoquaux G. (2023). How to select predictive models for causal inference?. arXiv preprint arXiv:2302.00370.

• Poster at the International Conference of Statistic and Data Science, 2022: Causal model selection: is my metric adapted ?

Transfer Event representations between claims and EHR for diagnosis and prognosis

• Oral presentation: ATALA seminar on patient embeddings, 2023-03-13

• Project status: ongoing, experimental evaluation

Treatment effect estimation from EHR data

Reevaluation of second line oral diabetics on HBA3C control and weight loss

• Title: Observational case control study on long term effect of GLP1-RA

• Abstract: The primary objective of the study is to assess the short term effect of GLP1-RA on weight loss. The effectiveness on the HBA1C diminution will be assessed as a control outcome. Despite clinical studies that proved the efficacy of GLP1-RA on weight loss, there is currently a lack of observational studies on the long term effect of GLP1-RA on weight loss.

The secondary objective is to study the long term effects on morbidity, rehospitalization and mortality.

Finally, the third objective is the analysis of the heterogeneity of the effect of GLP1-RA on different subpopulations. The patient stratification will be made on the following baseline factors: age, sex, BMI, type 2 diabetes history length, cardio-vascular background, tritherapy status. Project status: ongoing, extraction and description of the target population

Chronic Kidney Disease: Effect of the timing of initialization of dialysis on mortality

• Project presentation: Greater Paris hospital, datascientist meetup, 2023-03-09

• Project status: Paused

Evaluation of medical imaging on mortality for patients hospitalized in intense care unit

• Project presentation: Inria Soda internal seminar, 2021-11-16

• Project status: Paused.