Invited Seminars
- UPCOMING “Advances in Spatial Co-Clusering Methods for Mass Spectrometry Imaging Data” at the German Cancer Research Center (DKFZ), Heidelberg University Hospital, Heidelberg, Germany
- UPCOMING “Advances in Bayesian Spatial Clustering Methods for Multi-Omic Analysis” at the Ca’ Foscari University of Venice, Italy
- UPCOMING “Matrix tri-factorization for co-clustering mass spectrometry imaging data: A Shiny App to support biologists” at the Ca’ Foscari University of Venice, Italy
- 8 February 2024: “Complete Blood Count Test in children and adolescent with Trisomy 21: definition of syndrome-specific reference intervals to detect evolution into onco-hematologic pathology” at the Enrico Anglesio Prize Webinar.
- 22 January 2024: “Co-clustering for mass spectrometry data” at the Department of Mathematical Sciences (DISMA), Politecnico di Torino.
- 4 October 2023: “Spatially constrained co-clustering to detect latent patterns in mass spectrometry imaging” at the DiSIA University of Florence (link).
Post-Graduate course
- 2023-2024
- 05 October 2024: Lecture on “Surrogate Endpoints” at the Second Level Master in Methods and Data Analysis in Biomedical Research (MEDAL), University of Milano-Bicocca. (2 hours)
- 8-10 May 2024: Lecture on“Statistical methods for mass spectrometry data“ at the II° MS BioStat School Department of Medicine and Surgery, University of Milano-Bicocca, Italy. (20 hours)
- 10-11 April 2024: Lecture on “Unsupervised and supervised learning for mass spectrometry analysis data” at the II° Advanced MS Imaging school – Italian Society of Chemistry (SCI), School of Medicine and Surgery, University of Milano-Bicocca. (4 hours)
- 8-9 April 2024: Lecture on “Statistical analysis for mass spectrometry data” at the VIII° MS Imaging school – Italian Society of Chemistry (SCI), School of Medicine and Surgery, University of Milano-Bicocca. (4 hours)
- 25 September – 8 November 2023: “Artificial Intelligence in Clinical Research: New Statistical Frontiers“ at the Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, Netherlands (8 hours)
- 2022-2023
- 06 November 2023: Lecture on “Surrogate Endpoints” at the Second Level Master in Methods and Data Analysis in Biomedical Research (MEDAL), University of Milano-Bicocca. (2 hours)
- 25-26 May & 5-6 June 2023: Lecture on “Statistical methods for multivariate data analysis” at the PhD in Public Health, University of Milano-Bicocca. (16 hours)
- 10-12 May 2023: Lecture on“Statistical methods for mass spectrometry data“ at the I° MS BioStat School Department of Medicine and Surgery, University of Milano-Bicocca, Italy. (20 hours)
- 18-19 April 2023: Lecture on “Statistical analysis for mass spectrometry data” at the VII° MS Imaging school – Italian Society of Chemistry (SCI), School of Medicine and Surgery, University of Milano-Bicocca. (4 hours)
- 2021-2022
- 25 November 2022: Lecture on “Surrogate Endpoints” at the Second Level Master in Methods and Data Analysis in Biomedical Research (MEDAL), University of Milano-Bicocca. (2 hours)
- 11-12 May 2022: Lecture on “Unsupervised and supervised learning for mass spectrometry analysis data” at the I° Advanced MS Imaging school – Italian Society of Chemistry (SCI), School of Medicine and Surgery, University of Milano-Bicocca. (4 hours)
- 9-10 May 2022: Lecture on “Statistical analysis for mass spectrometry data” at the VI° MS Imaging school – Italian Society of Chemistry (SCI), School of Medicine and Surgery, University of Milano-Bicocca. (4 hours)
- 2018-2019
- 16-17 April 2019: Lecture on “Statistical analysis for mass spectrometry data” at the V° MS Imaging school – Italian Society of Chemistry (SCI), School of Medicine and Surgery, University of Milano-Bicocca. (4 hours)
Graduate course
- 2024-2025:
- “Statistics in Medicine II”, MSc in Dentistry V° year, School of Medicine and Surgery, University of Milano-Bicocca. SSD: MED/01 (1 CFU, 12 hours)
- “Statistic in Medicine”, BSc in Nursing I° year, School of Medicine and Surgery, University of Milano-Bicocca. SSD: MED/01 (1 CFU, 8 hours)
- 2023-2024:
- “Data Science Lab in Medicine – Big Data in Health Care”, MSc in Data Science, Department of Informatics, Systems and Communication, University of Milano-Bicocca. SSD: MED/01 (7 hours)
- “Data Science Lab in Medicine – Big Data in Public Health”, MSc in Data Science, Department of Informatics, Systems and Communication, University of Milano-Bicocca. SSD: MED/01 (7 hours)
- “Statistics in Medicine II”, MSc in Dentistry V° year, School of Medicine and Surgery, University of Milano-Bicocca. SSD: MED/01 (1 CFU, 10 hours)
- 2022-2023:
- “Statistical methods for multivariate data analysis”, MSc in Medicine, School of Medicine and Surgery, University of Bergamo. SSD: MED/01 (4 hours)
- “Statistics in Medicine II”, MSc in Dentistry V° year, School of Medicine and Surgery, University of Milano-Bicocca. SSD: MED/01 (1 CFU, 12 hours)
- 2020-2021:
- “Statistics in Medicine”, MSc in Dentistry I° year, School of Medicine and Surgery, University of Milano-Bicocca. SSD: MED/01 (2 CFU, 10+12 hours)
- “Statistics in Medicine”, BSc in Biomedical Laboratory Techniques I° year, School of Medicine and Surgery, University of Milano-Bicocca. SSD: MED/01 (2 CFU, 16 hours)
- “Statistics in Medicine”, BSc in Imaging and Radiotherapy Techniques I° year, School of Medicine and Surgery, University of Milano-Bicocca. SSD: MED/01 (1 CFU, 8 hours)
- 2017-2018:
- Mathematics teacher, Secondary school – High school E. Majorana, Desio (MB), Italy. (20 hours)
Teaching assistant
- 2023-2024: “Regression modeling strategies”, StatisticAlps 2024, 10th Edition, Ponte di Legno, Italy, 1-6 September 2024
- 2022-2023: “XXXI° corso di metodologia statistica per la ricerca biologica di base ed applicata”, International Biometric Society Italian Region, Virtual. (8 hours)
- 2022-2023: “Bayesian Statistics”, MSc in Mathematical Engineering, Polytechnic University of Milan.
- 2022-2023: “Fundamentals of Bioinformatics and Biostatistics”, BSc in Biotechnologies, Department of Biotechnology and Biosciences, University of Milano-Bicocca. SSD: INF/01 (30 hours)
- 2018-2019; 2019-2020; 2020-2021; 2021-2022; 2022-2023:“Data Science Lab in Medicine – Big Data in Health Care”, MSc in Data Science, Department of Informatics, Systems and Communication, University of Milano-Bicocca. SSD: MED/01 (10 hours)