Valérie Siroux
  • E-mail :[email]
  • Phone : +33 4 76 54 95 56
  • Location : Grenoble, France
Last update 2019-05-06 16:51:48.404

Valérie Siroux Respiratory Epidemiologist, Ph.D

Course and current status

Current position

Since January 2006 Research Scientist (Chargée de Recherche) at Inserm U 1209, Institute for Advanced Biosciences (IAB), GRENOBLE  (P. Hainaut)

Positions held

2005     INSERM U578 (became Inserm/UJF U823 and U1209), GRENOBLE (C. Brambilla). Post-doctoral position in respiratory epidemiology

2004     Arizona Respiratory Center, TUCSON, Arizona. Post-doctoral position in genetic epidemiology, mentor : Pr F. Martinez

2002-3 INSERM U472 (became U1018), « Pneumology and immuno-allergology» team, VILLEJUIF (T Moreau) et CHU de GRENOBLE, Département de Médecine Aiguë Spécialisée, GRENOBLE (C.Brambilla). Respiratory epidemiologist

1999     Occupational Hygiene Program, VANCOUVER (Canada). 6 months. Statistician, epidemiologist

1998     IPROS (Institute for prevention and research in osteoporosis), CHR ORLEANS. 1 year. Statistician, epidemiologist

1997     INSERM U169 (became U472 and U780 and U1018), « Pneumology and immuno-allergology» team, VILLEJUIF (J Lellouch). 6 months. Epidemiologist

Education

INSTITUTION AND LOCATION

DEGREE

Completion Date

FIELD OF STUDY 

Univ Paris V

B.S

1996

Statistics and Informatics

Univ Paris XI

M.Sc

1997

Public Health, Epidemiology

Univ Paris XI

Ph.D

2003

Respiratory Epidemioogy

Univ Joseph Fourier, Grenoble

HDR

2013

Respiratory Epidemiology

Scientific summary

My research focuses on respiratory epidemiology, and more specifically on asthma. Asthma is the most common chronic disease among children, and 10% of the French population suffers from asthma. Asthma is associated with an impaired quality of life and leads to considerable social and economic costs. My research is aimed to better understand asthma and to identify the environmental, genetic and epigenetic factors associated with its development. It lies in the collection of several layers of high-resolution data (exposome, genome, epigenome) in well-characterized cohorts allowing a life-course approach. 

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