CV Science

Marie-Christine JAULENT PhD in Artificial Intelligence and Fuzzy Logic

Course and current status

EDUCATION

1983 Engineer ENSEEIHT in Computer Sciences (Ecole Nationale Supérieure d’Electronique, d’Electrotechnique, d’Informatique et d’Hydraulique de Toulouse France).

1986 PhD from I.NP.T. (Institut National Polytechnique de Toulouse, France), option Artificial Intelligence.

1987 “Certificate in Natural Computation”, University of Boston, Massachussetts, USA.

1997 Certificate in Statistics for Medicine (CESAM) - Option STARC.

1998 « Habilitation à Diriger les Recherches ». Faculty of Medicine Broussais-Hôtel-Dieu (UPMC, Paris VI, France) 

PROFESSIONAL ACTIVITIES

1987-1989 Associate researcher at Boston University. (“Biomedical Engineering Department”) in the research laboratory “Intelligent Systems Laboratory”. Research area : Artificial Intelligence, Cognition, Image Processing. Research Area: Artificial intelligence, Cognition, Processing of visual information.

1989-1990 Project Manager of l’AP-HP (Assistance Publique - .Service d’Informatique Médicale de l’hôpital Broussais in Paris (Director P. Degoulet). Research Area : Artificial Intelligence in Medicine, Hospital Information Systems.

1990 - 2002 CR1 INSERM appointed to the SPIM (Medical Health and computer Sciences) co-steered by the professors Patrice Degoulet and Joël Ménard. Research Program: Medical Image Understanding and Medical decision Making. 

CURRENT PROFESSIONAL SITUATION

Since 2002 DR2 INSERM, Director of the research team of INSERM, U 729 (knowledge engineering in health sciences) which became in 2007 the team 20 of INSERM U 872

Scientific summary

Since 2002, I led a public INSERM research team (also affiliated to the universities “Paris Descartes” and “Pierre et Marie Curie” in Paris) in knowledge engineering in healthcare that proposes innovative computerized methods to manage data and complex knowledge in healthcare for improving care quality and patient safety. My research activities are in the fields of 1) terminologies and ontologies in healthcare, 2) semantic EHR: Binding of terminology and data structures, 3) semantic mediation and integration, 4) clinical data warehouses and information quality, 5) decision support systems for prescription assistance. The applicative objectives concern several concrete medical domains: cancers, rare diseases, infectious diseases (resistance to antibiotics) and pharmacovigilance (prevention of adverse drug effects). I am currently involved in several EU R&D projects:

DebugIT (FP7-ICT-2007-1.5.2) which goal is to build a technical and semantic information technology platform able to share heterogeneous clinical data sets from different hospitals for the monitoring and the control of infectious diseases and antimicrobial resistances in Europe. I contribute to the conception and development of the semantic interoperability platform of the project and I also contribute to the development of new decision making approaches based on rule-based fuzzy cognitive maps.

PROTECT (IMI_Call_2008_1_06) which goal is to perform Pharmacoepidemiological Research on Outcomes of Therapeutics by a European ConsorTium. I contribute to introduce and evaluate new methods for grouping adverse drug reactions. Prior to this project I supervised some work on developing 1) OntoMedDRA an ontology of adverse drug reaction aligned to SnomedCT, 2) PharmaMiner a tool for signal detection in pharmacovigilance and 3) PharmARTS a Web Service for providing improved access to Pharmacovigilance data.

EHR4CR (IMI_Call_2009_2_09) which goal is to reuse Electronic Health Records for Clinical Research. In this project, I contribute to the conception and development of the semantic interoperability platform.

Keywords (Mesh) : Artificial Intelligence; Terminology; Decision Making, Computer-Assisted; Abstracting and Indexing; Information Storage and Retrieval; Fuzzy logics