Caroline
BAZZOLI
Assistant professor (Université Grenoble Alpes, France)
PhD in Applied mathematics
Speciality in biostatistics
- 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
- Random effect models ; reduction dimension ; high dimensional data ;
- Data science & AI
- Pharmacometrics ; data health ; life trajectories
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
-
-
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)