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Pascal Schlich
7
Documents
Identifiants chercheurs
- pascal-schlich
- 0000-0001-7919-5135
- Google Scholar : https://scholar.google.com/citations?user=NoHhLpAAAAAJ&hl=fr&oi=ao
- IdRef : 109219023
Présentation
Birthdate : 26/11/1960
**Place of birth:** Juvisy sur Orge, France
**Nationality** : French
**Family situation** **:** Married, 4 children
**Professional address**
Centre des Sciences du Goût et de l'Alimentation (CSGA)
9E Bd Jeanne d'Arc. 21 000 Dijon. France
Tel : +33 6 79 76 76 29 – E-mail : pascal.schlich@inrae.fr
Diploma
1984 Master degree in Statistics Université Paris XI, Orsay, France
1993 Ph.D. in Statistics Université Paris XI, Orsay, France
1996 Certificate of Proficiency in English University of Cambridge, UK
2007 HDR (French certification for tutoring Ph.D. students) Université de Bourgogne, France
Professional title: Director of Research, INRAE
Professional occupation
1984 Statistician, INRA, Laboratoire de Recherches sur les Arômes
1998 Senior scientist, INRA, Laboratoire de Recherches sur les Arômes
2001 Team research leader at Centre Européen des Sciences du Goût (CESG), INRA, Dijon
2007 Director of Research, INRA
2010 Scientific leader of ChemoSens Platform at CSGA (former CESG)
Sabbatical : University of California (Davis). Pr Ann C. Noble. From June 1995 to August 1996
Teaching statistics for food science in several universities (40 h/year)and consulting for major companies worldwide
Ph.D. tutored : 13 defended (Philippe Callier, Rita Pessina, Nicolas Pineau, Caroline Reverdy, Eric Teillet, Sophie Meillon, Marcela Medel Maraboli, Nadra Mammasse, Coralie Biguzzi, Anaïs Lemercier, Caroline Peltier, Arnaud Thomas, Guillaume Lecuelle), 2 in progress (Benjamin Mahieu, Cindy Frascolla)
Interdisciplinary research project management: *Opaline* (2004-2008), *EduSens* (2006-2009), *EpiPref* (2009-2012)
Industrial research project management with *Amora-Maille, Groupe Danone, Fromageries Bel, Pernod Ricard, Barilla, Lyonnaise des Eaux, Unilever, Coca Cola, Yoplait, Nestlé, Renault, Peugeot, Ajinomoto, Mondelez, Nutricia ...*
Database and software project management: *[www.timesens.com](http://www.timesens.com/)*
Founder member of the *Sensometrics Society,* the *Groupe Agro-industrie* of the *Société Française de Statistique* (president during 7 years), *the European Sensory Science Society* and the *Société Française d’Analyse Sensorielle*
Member of the editorial board of *Journal of Food Quality and Preference*
Referee for *American Journal of Enology and Viticulture, Journal of Agricultural and Food Chemistry, Journal of Food Quality and Preference, Journal of the Science of Food and Agriculture, Journal of Sensory Studies, Lebensmittel Wissenschaft und Technologie, Beverages, Foods ...*
Publication statistics from Web of Science: 130 publications, cited 3236 times (average of 25 per item and maximum of 280, h-index 32)
Book chapters: 12. Invited keynote presentations in international conferences: 16
Publications
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Two sample tests for Semi-Markov processes with parametric sojourn time distributions: an application in sensory analysisComputational Statistics, 2022, 37, pp.2553-2580. ⟨10.1007/s00180-022-01210-x⟩
Article dans une revue
hal-03641962v1
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A multiple-response chi-square framework for the analysis of Free-Comment and Check-All-That-Apply dataFood Quality and Preference, 2021, 93, pp.104256. ⟨10.1016/j.foodqual.2021.104256⟩
Article dans une revue
hal-03355886v1
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Estimating finite mixtures of semi‐Markov chains: an application to the segmentation of temporal sensory dataJournal of the Royal Statistical Society: Series C Applied Statistics, 2019, 68 (5), pp.1281-1303. ⟨10.1111/rssc.12356⟩
Article dans une revue
hal-02353089v1
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Modeling temporal dominance of sensations with semi-Markov chainsFood Quality and Preference, 2018, 67, pp.59-66. ⟨10.1016/j.foodqual.2017.06.003⟩
Article dans une revue
hal-01679100v1
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A multiple-response chi-square framework for the analysis of Free-Comment and Check-All-That-Apply data14. Pangborn sensory science symposium, Aug 2021, Virtual meeting, France. 2021
Poster de conférence
hal-03528334v1
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Analysis of TDS data with a stochastic approach12th PANGBORN SENSORY SCIENCE SYMPOSIUM, Aug 2017, Rhode Island, United States
Poster de conférence
hal-04534348v1
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Estimating finite mixtures of semi-Markov chains: an application to the segmentation of temporal sensory data. arXiv:1806.04420v1 [stat.ME]2018
Pré-publication, Document de travail
hal-02789807v1
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