Multi-omic and multi-modal single-cell sequencing data analysis for investigating transcriptional regulation and cellular heterogeneity

• Presentazione progetto di ricerca sul palco della JTWIA 2023 https://www.linkedin.com/posts/lorenzo-martini-ba98421b6_jtwia-justthewomaniam-womenatpolito-activity-7036972429574852608-qGbn?utm_source=share&utm_medium=member_desktop (2024)
• Partecipazione diretta al PhD Day 2023. https://www.linkedin.com/posts/lorenzo-martini-ba98421b6_phd-smilies-polito-activity-7127592485396037632-icHV?utm_source=share&utm_medium=member_desktop (2024)
• didattica erogata, INFORMATICA - 8 CFU. CPD 3.442 - 91.57% (2024)
• didattica erogata, VISUALIZZAZIONE DELL'INFORMAZIONE QUANTITATIVA - 6 CFU. CPD 3.454 - 90.91% (2024)
• Organizzazione, Realizzazzione e partecipazione attiva all'evento "PhD Talks - Viaggio nelle connessioni della ricerca" per JTWIA in collaborazione con la scuola di dottorato Polito Unito. https://www.linkedin.com/posts/lorenzo-martini-ba98421b6_jtwia-smilies-polito-activity-7113815368523014145-wFy8?utm_source=share&utm_medium=member_desktop (2024)

Bachelor of Science

• Visualizzazione dell'informazione quantitativa. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso
• Informatica. A.A. 2022/23, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso

• SMILIES - reSilient coMputer archItectures and LIfE Sciences

• Martini, Lorenzo (2025)
  Multi-omic and multi-modal single-cell sequencing data analysis for investigating transcriptional regulation and cellular heterogeneity. relatore: DI CARLO, STEFANO; SAVINO, ALESSANDRO; , 37. XXXVII Ciclo, P.: 174
  Doctoral Thesis
• Martini, Lorenzo; Amprimo, Gianluca; Di Carlo, Stefano; Olmo, Gabriella; Ferraris, ... (2024)
  Neuronal Spike Shapes (NSS): A straightforward approach to investigate heterogeneity in neuronal excitability states. In: COMPUTERS IN BIOLOGY AND MEDICINE, vol. 168, pp. 1-15. ISSN 0010-4825
  Contributo su Rivista
• Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; Di Carlo, Stefano (2024)
  Cross-omic Transcription Factors meta-analysis: an insight on TFs accessibility and expression correlation. In: GENES, vol. 15, pp. 1-16. ISSN 2073-4425
  Contributo su Rivista
• Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; DI CARLO, Stefano (2023)
  GAGAM v1.2: An Improvement on Peak Labeling and Genomic Annotated Gene Activity Matrix Construction. In: GENES, vol. 14. ISSN 2073-4425
  Contributo su Rivista
• Martini, L.; Bardini, R.; Savino, A.; Di Carlo, S. (2023)
  Meta-analysis of Gene Activity (MAGA) Contributions and Correlation with Gene Expression, Through GAGAM. In: 10th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2023), Meloneras, Gran Canaria (ESP), 12-14 July 2023, pp. 193-207. ISSN 0302-9743. ISBN: 978-3-031-34959-1
  Contributo in Atti di Convegno (Proceeding)
• Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; Di Carlo, Stefano (2023)
  GRAIGH: Gene Regulation accessibility integrating GeneHancer database. In: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul (Turkey), Dec. 5-8, 2023, pp. 343-348. ISBN: 979-8-3503-3748-8
  Contributo in Atti di Convegno (Proceeding)
• Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; Di Carlo, Stefano (2022)
  High-resolution sample size enrichment of single-cell multi-modal low-throughput Patch-seq datasets. In: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas (USA), Dec. 6-8, 2022, pp. 2334-2341. ISBN: 978-1-6654-6819-0
  Contributo in Atti di Convegno (Proceeding)
• Martini, Lorenzo; Bardini, Roberta; Savino, Alessandro; DI CARLO, Stefano (2022)
  GAGAM: A Genomic Annotation-Based Enrichment of scATAC-seq Data for Gene Activity Matrix. In: International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO) 2022, Gran Canaria, Jun. 27-30, 2022, pp. 18-32. ISBN: 978-3-031-07801-9
  Contributo in Atti di Convegno (Proceeding)
• Martini, Lorenzo; Bardini, Roberta; DI CARLO, Stefano (2021)
  Meta-Analysis of cortical inhibitory interneurons markers landscape and their performances in scRNA-seq studies.. In: 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Houston (USA), Dec. 9-12, 2021, pp. 253-258. ISBN: 978-1-6654-0126-5
  Contributo in Atti di Convegno (Proceeding)