CAROLINE BAZZOLI

Maîtresse de conférences (Université Grenoble Alpes)

MESP

Coordonnées

Bâtiment : CReSI

Bureau : A404

Tél. : 0476143799
Caroline.Bazzoli@univ-grenoble-alpes.fr

Site web :

Site internet du TIMC

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

Publications

Liste sur HAL

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
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)
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

Past Research Projects

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)