Promotion to senior grade
CAROLINE BAZZOLI
Maîtresse de conférences (Université Grenoble Alpes)
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MESP
Coordonnées
Bâtiment : CReSI
Bureau : A404
Tél. : 0476143799
Caroline.Bazzoli@univ-grenoble-alpes.fr
Site web :
Thèmes de recherche
- Random effects models
- Linear Mixed Models (LMM), Generalized Linear Mixed Models (GLMM).
- Dimension reduction
- Principal Component Regression (PCR), PLS regression, Supervised Component-based Generalized Linear Regression (SCGLR).
- Machine learning, text-mining
- Design optimisation for linear and nonlinear mixed-effects models
- Applications
- Modeling of population pharmacokinetic/pharmacodynamic (PK/PD) experimental data
- Pharmacology of antiretroviral drugs in HIV patients
- Genomics and proteomics
- Predicting judicial decisions
Mots-clés :
- Random effect models ; reduction dimension ; high dimensional data ;
- Data science & AI
- Pharmacometrics ; data health ; life trajectories
Enseignement
Lecturer in the Data Science Department (formerly STID) at IUT2, Université Grenoble Alpes
- 2022 – present: Director of Studies, University Bachelor of Technology (BUT) in Data Science
- 2012 – 2023: Head of the Professional Bachelor’s Degree in Data Methods and Statistics (MDS), Statistics, Surveys and Marketing (ESSM) track
Teaching activities mainly in the 2nd year of the Data Science Bachelor of Technology (BUT SD) and in the UGA Master’s in Statistics and Data Science (SSD)
- BUT 2nd year
- Data Mining
- Linear Models (regression on quantitative and qualitative variables)
- Introduction to Surveys and Sampling Methods
- Master 2 in Statistics and Data Science, Université Grenoble Alpes (UGA)
- Biostatistics – Survival Analysis
University Diploma (DU) in Medical Devices and Digital Health, Faculty of Pharmacy, Université Grenoble Alpes (E-learning)
- MOOC: Data Analysis Processes, Introduction to Machine Learning
Former teaching activities
- Professional Bachelor’s Degree in Data Methods and Statistics (MDS), ESSM track – IUT2
- Refresher course in Descriptive Statistics, Inferential Statistics, and R software
- Multidimensional Data Analysis (PCA, CA, MCA)
- Data Mining
- Professional Bachelor’s Degree in Big Data – IUT2
- Introduction to Text Mining
Curriculum vitae
Caroline Bazzoli
44 years old, 2 children
Assistant professor, 26
Université Grenoble Alpes (UGA)
Academic position
Associate Professor
IUT 2, Department of Data Science, UGA
Maternity leave in March 2015.
Maternity leave in October 2011.
Temporary Teaching and Research Assistant
(96h), IUT 2, Department of Data Science, UGA
Education
PhD in Biostatistics
Completed under the supervision of France Mentré at Université Paris Diderot, defended on December 9, 2009.
Title: Evaluation and optimization of protocols for nonlinear mixed-effects models: application to the pharmacological modeling of antiretrovirals.
Examining committee: Avner Bar-Hen and Bertrand Diquet.
Master's Degree in Public Health and Health Management
Specializing in Therapeutic Evaluation Methods, Université Paris Diderot (Paris VII)
Educational responsibilities
Dean of studies
University Bachelor of Technology (B.U.T) Data Science
Pedagogical coordinator
Professional license program, Statistical Studies, Surveys, and Marketing — IUT2, STID Department, UGA
Local collective responsibilities
Elected to laboratory board of TIMC, UGA
Elected to scientific committee of MSTIC cluster, UGA
National collective responsibilities
HCERES Expert Reviewer
Participated in the evaluation of a research laboratory
HCERES Expert Reviewer
Assessment of higher education programs
Member of the National Coordination Group for the development and drafting of the National Program (PN) for the Data Science (SD) specialization of the Bachelor Universitaire de Technologie (BUT) (formerly STID)
Member of the National Pedagogical Commission (CPN) SD-INFO
Doctoral and scientific supervision
Co-supervision (50%) of a PhD thesis with J. Gensel (LIG) — Anna Kupenko, funded by the ANR TRAVERSÉES project
Co-supervision (25%) of a PhD thesis with J. Geai (TIMC) and Prof. J-L Bosson (TIMC) — Valentin Paran, funded by a medical research project
Co-supervision of 5 Master 2 internships, 2 Master 1 internships in Data Science, and 2 internships for 2nd-year DUT STID students
Scientific responsibilities
WP Leader (Statistical Methodology), TRAVERSÉES (ANR-25-CE38-0917)
Co-Lead, MIAI Chair on Legal AI Tools, MIAI Institute, Grenoble
Co-Organiser of the first Medical Workshop (WAM): Data & Health @Grenoble, UGA, Grenoble
Co-Organiser of Seminars on Machine Learning in Health, TIMC laboratory
Co-Head of 3 industrial research contracts with the structure MAIMOSINE
Co-Head of 3 MIAI projects in data science and a CHUGA project with a clinician
Publications
Informations complémentaires
Projets
Ongoing Research Projects
- MIAI Chair – AI-LegalTools (C. Bazzoli & G. Vial, 2025–2029)
Artificial Intelligence techniques and the transformation of legal professions
- ANR TRAVERSEE (PI: M. Villanova, Associate Professor, LIG, 2026–2030)
Life Trajectories: Enrichment, Semantic Querying, and Statistical Exploration-
WP5: Statistical Exploration of TVS — co-led with Arnaud Bringé (INED)
This work package develops and adapts statistical methods to model semantic life trajectories, spanning sequence analysis, biographical analysis, and the integration of rich contextual data. It delivers validated R/Python libraries, tested on both real and simulated data, and provides dedicated visualization tools to present the findings clearly.
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- EUROPEAN UNION'S HORIZON EUROPE YEAH ! (2025-2030)
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WP7 : Case studies evaluating YEAH! intervention in specific subgroups (from 2027)
One of the objectives of WP7 is to evaluate the YEAH! intervention among elite young athletes, with recruitment, targeted communication, and effectiveness analysis carried out in collaboration with local sites. An instance of the SAlTo (Semantic Life Trajectories) model will be built for this population to collect and analyse data on each participant's socio-environmental context.
A postdoctoral position will be opened shortly to lead this work, with a start date planned for January 2027.
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- PEPR IMOCEP (PIs: A. Leclerc-Samson, Full Professor, LJK & J. Stirnemann, 2024–2029)
Innovations in growth modeling: from the cell to pediatric development- WP5: Maternal–fetal pharmacokinetics and pharmacodynamics for fetal therapy (from 2027)
Past Research Projects
- MIAI Project MULTIVITAMINES (C. Bazzoli & J. Gensel, 2022–2023)
Unsupervised classification of life trajectories - MIAI Project (E. Vergès, M. Coavoux & C. Bazzoli, 2021–2022)
Artificial Intelligence and judicial decisions: explaining algorithmic predictions to analyze judges’ reasoning - MIAI Project (E. Vergès, M. Coavoux & C. Bazzoli, 2020–2021)
Comparison of the performance of different techniques for analyzing judicial decisions, with the aim of understanding and anticipating judges’ reasoning - AGIR PEPS Project (C. Bazzoli, 2015–2018)
Variable compression on high-dimensional genetic data (CODIM) - Idex UGA – Social and Cultural Outreach Program (2016– )
Grenoble’s computing heritage: educational promotion and scientific dissemination (ACONIT) - IdEx CDP Project (2017–2019)
Towards a Grenoble Institute for the Brain and for Normal and Pathological Cognition (Neurocog) - LabEx Persyval, Interdisciplinary PEPS Project (2014–2015)
Modeling and statistical analysis of experimental data in the fields of speech and cognition (Phon&Stat) - Development of PFIM software (Population Fisher Information Matrix)
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