Know more

‌

About cookies

What is a "cookie"?

A "cookie" is a piece of information, usually small and identified by a name, which may be sent to your browser by a website you are visiting. Your web browser will store it for a period of time, and send it back to the web server each time you log on again.

Different types of cookies are placed on the sites:

  • Cookies strictly necessary for the proper functioning of the site
  • Cookies deposited by third party sites to improve the interactivity of the site, to collect statistics

Learn more about cookies and how they work

The different types of cookies used on this site

Cookies strictly necessary for the site to function

These cookies allow the main services of the site to function optimally. You can technically block them using your browser settings but your experience on the site may be degraded.

Furthermore, you have the possibility of opposing the use of audience measurement tracers strictly necessary for the functioning and current administration of the website in the cookie management window accessible via the link located in the footer of the site.

Technical cookies

Name of the cookie

Purpose

Shelf life

CAS and PHP session cookies

Login credentials, session security

Session

Tarteaucitron

Saving your cookie consent choices

12 months

Audience measurement cookies (AT Internet)

Name of the cookie

Purpose

Shelf life

atid

Trace the visitor's route in order to establish visit statistics.

13 months

atuserid

Store the anonymous ID of the visitor who starts the first time he visits the site

13 months

atidvisitor

Identify the numbers (unique identifiers of a site) seen by the visitor and store the visitor's identifiers.

13 months

About the AT Internet audience measurement tool :

AT Internet's audience measurement tool Analytics is deployed on this site in order to obtain information on visitors' navigation and to improve its use.

The French data protection authority (CNIL) has granted an exemption to AT Internet's Web Analytics cookie. This tool is thus exempt from the collection of the Internet user's consent with regard to the deposit of analytics cookies. However, you can refuse the deposit of these cookies via the cookie management panel.

Good to know:

  • The data collected are not cross-checked with other processing operations
  • The deposited cookie is only used to produce anonymous statistics
  • The cookie does not allow the user's navigation on other sites to be tracked.

Third party cookies to improve the interactivity of the site

This site relies on certain services provided by third parties which allow :

  • to offer interactive content;
  • improve usability and facilitate the sharing of content on social networks;
  • view videos and animated presentations directly on our website;
  • protect form entries from robots;
  • monitor the performance of the site.

These third parties will collect and use your browsing data for their own purposes.

How to accept or reject cookies

When you start browsing an eZpublish site, the appearance of the "cookies" banner allows you to accept or refuse all the cookies we use. This banner will be displayed as long as you have not made a choice, even if you are browsing on another page of the site.

You can change your choices at any time by clicking on the "Cookie Management" link.

You can manage these cookies in your browser. Here are the procedures to follow: Firefox; Chrome; Explorer; Safari; Opera

For more information about the cookies we use, you can contact INRAE's Data Protection Officer by email at cil-dpo@inrae.fr or by post at :

INRAE

24, chemin de Borde Rouge -Auzeville - CS52627 31326 Castanet Tolosan cedex - France

Last update: May 2021

Menu Logo Principal

Home page

Home page Teams Members Isabelle Albert

Isabelle Albert

Position

Researcher / Chargée de Recherche INRAInstitut National de la Recherche AgronomiqueUMR518 AgroParisTech/INRA of Applied Mathematics and Computer SciencesTeam MORSE Address: 16 rue Claude Bernard, F - 75 231 Paris Cedex 05 Phone: (+33)(0)1 44 08 72 71 Mail : isabelle.albert@versailles.inra.fr

Projects

* 2013-2016, SOMEAT - ANR project on safety of organic meat. WP4: risk analysis. 14 partners.

* 2007-2014, MIA Network on Expert Elicitation - INRA, Division of Applied Mathematics and Informatics.

* 2011-2014, MAP'OPT - ANR project on equilibrium gas composition in modified atmosphere packaging and food quality. Statistical expertise. 9 partners.

* 2010-2012, RIBENUT - ANR project on Modeling risk-benefit in a food chain: nutritional benefit versus microbial spoilage risk in canned green beans. 9 partners.

* 2008-2011, Quant'HACCP - ANR project on Microbiological quantitative risk assessment as a support to establish control measures based on food safety objectives. 10 partners.

* 2006-2008, B.cereus - ANR project on New approaches and tools to investigate the emergence of foodborne pathogenic bacteria – The case of Bacillus cereus in heat-treated, non sterile foods. 13 partners.

Research interests

Bayesian Statistics Bayesian inference, hierarchical modelling, Bayesian meta-analysis, objective/subjective priors, model assessment, Markov chain Monte Carlo methods, sensitivity analysis, predictive model selection, longitudinal binary data models, frailty models.

Expert elicitation Combination of expert opinions, interactions between experts, errors model on elicited quantities, elicitation of prior probabilities distributions, posterior distribution given elicited quantities, Bayesian hierarchical modelling, mixture approach, average approach, Dirichlet distribution, pseudo-data.

Simulation Techniques Monte Carlo simulation, Bootstrap, Markov chain Monte Carlo methods, Gibbs sampler, Metropolis-Hastings algorithm, R programming,OpenBUGS, WinBUGS, Jags.

Generalized Linear Models/Nonlinear models Weibull model, logit model, mixed model, quasi-likelihood estimating equations, nonlinear regression, least squares estimation, maximum likelihood estimation, variance heterogeneity.

Bayesian networks Statistician viewpoint, graphical models, modelling systems, continuous variates, manipulation of Bayesian networks, R package: Rebastaba.

Applications to Food Risk Analysis Quantitative microbiological risk assessment (QMRA) from farm to illness, Campylobacter/chicken, introduction of epidemiologic data in QMRA, exposure assessment considering bacterial genetic diversity, B. cereus/cooked, pasteurised and chilled foods, estimation of microbial contamination, Listeria/fresh vegetables, bacterial inactivation, uncertainty and variability in bacterial growth, Listeria/milk, sensitivity analysis, ochratoxin A.

Teaching

Teaching at ENSAI, French graduate school specialising in statistics

Bayesian Statistics (Postgraduate): January 2013, February 2012: Lecturer, 12h; Winter 2010, 2009, 2008: Lecturer, 10h

Teaching at Paris XII University

Seminar: Bayesian statistics introduction (Master 2, Analyse des risques des biocontaminants liés à l'alimentation humaine et animale, Postgraduate): 2005-2006: 9h; 2006-2007: 9h

Teaching at Bretagne-Sud University

Bayesian statistics (Master 2, Modélisation et Analyse Statistique de l'Information, Postgraduate): 2001-2002: 6h; 2002-2003: 6h

Teaching at Vannes IUP

Bayesian statistical analysis : logit model with mixed effects and clinial trials with intermediate analyses (Master 1, Génie Informatique et Statistique, Postgraduate): 2000-2001: 4h

Teaching at Bichat Faculty of Medicine

Tutorials in Biostatistics (first year of Medicine): 1999-2000: 192h

Teaching at Paris V University

Tutorials in Statistics, Nonparametric Statistics, Mathematics and Computer science (DEUG and Master 1, Sciences naturelles et du vivant and Chimical, Undergraduate and Postgraduate): 1998-1999: 192h; 1997-1998: 192h

Teaching at Paris IX Faculty of Medicine

Tutorials in Statistical methods and Modelling in medical and biological experiments (Master 2, Sciences Biologiques et Médicales, Psotgraduate): 1996-1997: 96h; 1996-1995: 96h; 1994-1995: 96h

Publications

See My Publications List

Position

Researcher / Chargée de Recherche INRAInstitut National de la Recherche AgronomiqueUMR518 AgroParisTech/INRA of Applied Mathematics and Computer Sciences Address: 16 rue Claude Bernard, F - 75 231 Paris Cedex 05 Phone: (+33)(0)1 44 08 72 71 Mail : firstname.lastname@versailles.inra.fr