Dinh-Phong Nguyen

Medical resident + MSc Data Science, Paris

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Python, R, keras, PyTorch, Spark, linux


Data science - DREES   Nov 2019 - Now

Python, PySpark, scala, SNDS

Internship in the statistics and ressearch department of the French Health ministry, working on the conversion of the national administrative healthcare database (SNDS) to the OHDSI-OMOP standard, and the production of morbidity indicators for Eurostat.

PMSI/Data science - APHP   May 2019 - Nov 2019

Python, R, Shiny, PySpark, PMSI, OMOP

Joint internship between the medical information department of Bicetre hospital (development of an open-source reactive dashboard called Thot) and the WIND department in charge of APHP’s datalake and big data platform. Development of an intensive care readmission prediction model on the OHDSI-OMOP standard (soon to be published and open-sourced)

Data science - CMAP   Apr 2018 - May 2019

Python, PySpark, SNDS

Research intern at the Data Science Initiative of CMAP (Center of Applied Maths of École Polytechnique), working on large observational databases of electronical health records (SNDS) in partnership with the French National Health Insurance Fund (CNAMTS) for applications in adverse drug reactions detection

Epidemiology - INSERM   May 2017 - Nov 2017

R, Stata

Research intern at the Research Center in Epidemiology and Population Health (CESP, INSERM U1018), in the Epidemiology of Ageing team, working on the Whitehall II study and dementia risk factors; one paper currently under review

Biostatistics - APHP   Nov 2016 - May 2017


Research intern at the Biostatistics department of Necker Hospital and Imagine Institute, working with several medical studies as methodological support and statistician; one paper currently under review

Neuroscience - Karolinska Institute   Jan 2013 - Jun 2013

Dissection, QPCR, Immunostaining

Research intern at the Neuroscience department of Karolinska Institute of Stockholm, Sweden, in Lallemend laboratory, working on peripheral nervous system genesis; co-authored one paper and contributed to another one

Medical extern - APHP   Sep 2011 - Jun 2016

Field experience

Part-time clinical work in various rotations (12 in total) in numerous Parisian hospital departments (cardiology, pneumology, neurology, etc.)


MSc Data Science - École Polytechnique   Sep 2017 - Sep 2018

Python, Matlab, keras, Spark

MSc of Applied Mathematics in Data Science of École Polytechnique and Paris-Saclay University. Graduated with highest honors.

M1 Public Health - Université Paris-Sud   Sep 2016 - May 2017

M1 Methods in Public Health (Biostatistics, Epidemiology, Clinical ressearch, Health economics, Law)

Medicine - Sorbonne University   Sep 2009 - Now

Completed the main curriculum (6 years) at Sorbonne University (previously known as UPMC - Paris 6); currently pursuing a MD in Public Health.

Baccalaureate - Lycée Lakanal   Sep 2006 - Jun 2009

Scientific, Maths major

Graduated with highest honours (mention TB)