CRISTINA MOLLICA
Structure:
Dipartimento di SCIENZE STATISTICHE
SSD:
STAT-01/A

Notizie

Short Bio
Cristina Mollica is Associate Professor of Statistics at the Department of Statistical Sciences (DSS) of Sapienza University of Rome since April 2024. In July 2023, she was also appointed as a Junior Research Fellow at the Sapienza School for Advanced Studies.
After graduating in Statistics for Biomedicine, Environment, and Technology, in 2014 she earned a Ph.D. in Methodological Statistics at the DSS and then continued the research activity as a Post-Doc Fellow in the same department for the following two years. From November 2017 to March 2024, she worked first as an Assistant Professor (RTD-A) in Statistics at the MEMOTEF Department of Sapienza and then as an Tenure-Track Assistant Professor (RTD-B) at the DSS.
She currently teaches Bayesian Modeling, Introduction to Biomedical Statistics, and Statistical Inference and Laboratory for undergraduate and graduate programs at the Faculty of Information Engineering, Informatics, and Statistics of Sapienza.
 
Research Interests
- Models for ranking data
- Ordinal data models
- Finite mixture models
- Latent variable models
- Bayesian inference
- Software development
- Biostatistics
 
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INTRODUCTION TO BIOMEDICAL STATISTICS 1
a.y. 2025/2026 - second semester
Course code: 1049376 (CFU: 6)
[Bachelor degree course: Bioinformatics (L-2)]
 
LAST UPDATE: 27th February 2026!!!
First lecture: Monday 2th March 2026
Lecturers: Cristina Mollica and Giovanna Failla
Moodle page: a.y. 2025/2026 - Introduction to Biomedical Statistics, available at
 
https://elearning.uniroma1.it/course/view.php?id=21257
 
Enrollment key: IBS2026
IMPORTANT: Students have to install R and RStudio on their laptop before the beginning of the IBS1 course (see detailed instructions on the Moodle page)
Class and exam mode: according to the current Sapienza regulations, classes and exams are in-person only.
 
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Class timetable (Prof. Cristina MOLLICA - IBS1 module with the use of R/RStudio)
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Monday         12:00 - 14:00, Room Psicologia I, (ground floor of CU026 E01PSIL101 building - Fisiologia Generale e Antropologia)*
Tuesday          9:00 - 12:00, Room Psicologia I, (ground floor of CU026 E01PSIL101 building - Fisiologia Generale e Antropologia)*
Wednesday   12:00 - 14:00, Room Psicologia I, (ground floor of CU026 E01PSIL101 building - Fisiologia Generale e Antropologia)*
Thursday         9:00 - 11:00, Room Psicologia I, (ground floor of CU026 E01PSIL101 building - Fisiologia Generale e Antropologia)*
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*To reach the classroom, please enter the brown gate in front of the campus café in via Regina Elena entrance, walk through the path and enter the first door on the left with the label "Psicologia" on the top.
 
Office hour 
By appointment, after sending an email to the lecturer on her institutional email address or by booking on the Moodle. The professor is also available for clarifications at the end of each class.

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INFERENZA STATISTICA E LABORATORIO
a.a. 2025/2026 - secondo semestre
Codice corso: 1026126 (CFU: 12)
[Corsi di Laurea: Statistica Gestionale (L-41), Statistica, Economia e Società (L-41)]
 
ULTIMO AGGIORNAMENTO: 23 Febbraio 2026
Docenti: Luca Tardella (teoria), Cristina Mollica (laboratorio), Tiziano Iannaccio (esercitazioni)
Inizio lezioni di laboratorio: Lunedì 23 Febbraio 2026
Pagina Moodle del corso: https://elearning.uniroma1.it/course/view.php?id=21067
Chiave d'iscrizione: #partecipo
Link Zoom lezione di laboratorio: https://uniroma1.zoom.us/j/84484959875?pwd=enJlL2trTDVJdEdrOGx1SDJ0dzZndz09#success
 
Orario lezioni di laboratorio
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Lunedì     16:00 - 18:00  Aula 16 - Laboratorio informatico, Edificio RM025, via Tiburtina 205.
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Orario di ricevimento 
Giovedì, 14:00 - 15:00 - stanza n. 13, piano IV, edificio CU002 (gradita mail di preavviso). Il docente è disponibile per chiarimenti anche al termine di ogni lezione.

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BAYESIAN MODELLING
a.y. 2025/2026 - first semester
Course codes: 1055949 (CFU: 9) + 1052019 (CFU: 6)
[Master degree course: Statistical Methods and Applications (LM-82)]
 
INFO UPDATED on 22nd September 2025!!!
Start date:
Monday 22nd September 2025
Lecturers: Cristina Mollica and Luca Tardella
Moodle page: https://elearning.uniroma1.it/course/view.php?id=20123
Enrolment key: go_bayes_2025
Zoom link: https://uniroma1.zoom.us/j/82917712036?pwd=NXdUdGNpeituRDhIYVRGc3YwdFIyUT09#success
 
Class and exam mode: according to the current Sapienza regulations, classes and exams are in-person only.
 
Class timetable
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Monday     12:00 - 14:00, Room VI (4th floor of CU002 building - Department of Statistical Sciences)
Thursday   14:00 - 16:00, Room XIV (ground floor of CU007 building - ex Tumminelli)
Friday        12:00 - 14:00, Room V (4th floor of CU002 building- Department of Statistical Sciences)
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Map and list of buldings in Sapienza campus 
 
Office hour 
Thursday, 17:00-18:00 in Room 13 (4th floor of CU002 building) or by appointment. In both cases, please send an email to inform the lecturer. The professor is also available for clarifications at the end of each class.

Orari di ricevimento

Su appuntamento previo invio di un'email al docente al suo indirizzo di posta istituzionale.
By appointment, after sending an email to the lecturer on her institutional address.

Insegnamenti

Codice insegnamentoInsegnamentoAnnoSemestreLingua CorsoCodice corsoCurriculum
1026126INFERENZA STATISTICA E LABORATORIO - LABORATORIOITAStatistica, Economia e Scienze Sociali33505Curriculum unico
1055949BAYESIAN MODELLINGENGStatistical Methods and Applications - Metodi statistici e applicazioni33517Quantitative economics (percorso valido anche ai fini del conseguimento del doppio titolo italo-francese)
1026126INFERENZA STATISTICA E LABORATORIO - LABORATORIOITAStatistica gestionale33507Curriculum unico
1049376INTRODUCTION TO BIOMEDICAL STATISTICS - INTRODUCTION TO BIOMEDICAL STATISTICS 1ENGBioinformatics - Bioinformatica33455Curriculum unico
1055949BAYESIAN MODELLINGENGStatistical Methods and Applications - Metodi statistici e applicazioni33517Data analyst (percorso valido anche ai fini del conseguimento del doppio titolo italo-francese)
1055949BAYESIAN MODELLINGENGStatistical Methods and Applications - Metodi statistici e applicazioni33517Quantitative economics (percorso valido anche ai fini del conseguimento del doppio titolo italo-francese)
1055949BAYESIAN MODELLINGENGStatistical Methods and Applications - Metodi statistici e applicazioni33517Data analyst (percorso valido anche ai fini del conseguimento del doppio titolo italo-francese)