Bio

Ricercatore in Statistica (SEC-S/01)

Curriculum

Laurea in Scienze Statistiche presso l’Università di Padova nel 1996, Dottorato di ricerca in Scienze Statistiche 1999. Post dot e assegnista di ricerca presso il Dipartimento di Scienze Oncologiche dell’Università di Padova e presso il centro di statistica (CUSSB) dell’Università Vita-Salute San Raffaele. Visitng student presso il il Centre for Mathematical Physics and Stochastic, Department of Mathematica Sciences, University of Aarhus, Danimarca (1998). Visiting researcher presso l’SFI2, Università di Oslo, Norvegia (2007 e 2009).

Area di ricerca

  • metodi statistici non parametrici
  • machine learning
  • metodi statistici per la genetica

Selezioni di Pubblicazioni

  • Biasco, Ambrosi, Pellin, Bartholomae, Brigida, Roncarolo, Di Serio, von Kalle, Schmidt, Aiuti, “Integration Profile of Retroviral Vector in Gene Therapy Treated Patients is Cell-Specific According to Gene Expression and Chromatine Conformation of Target Cell”, EMBO, 2011, 3(2) 89-101.
  • Cattoglio, Pellin, Rizzi, Maruggi, Corti, Miselli, Sartori, Guffanti, Di Serio, Ambrosi, De Bellis, Mavilio, “High-Definition Mapping of Retroviral Integration Sites Identify Active Regulatory Elements in Human Multipotent Hematopoietic Progenitors”,  Blood. 2010 Sep 23. [Epub ahead of print].
  • Nigro, Brini, Soprana, Ambrosi, Dombrowicz, Siccardi, Vangelista, “Anti-tumor IgE Adjuvanticity: Key Role of FcεRI”, Journal of Immunology, 2009; 183(7):4530-4536.

 

  • Sauer, Mrak, Hernandez, Zacchi, Cavani, Casiraghi, Grunebaum, Roifman,  Cervi, Ambrosi, Carlucci, Roncarolo, Villa, Rubinacci, Aiuti, “ADA-Deficient SCID is Associated with a Specific Microenviroment and Bone Phenotype Characterized by RANKL/OPG Imbalance and Osteoblasts Insufficiency”, Blood, 2009; 114(15): 3216-3226.
  • Ambrosi, Di Serio, “Vectors and Integration in Gene Therapy: Statistical Considerations”, Journal of Computer Science & Systems Biology, 2009, 2:117:123.
  • Maruggi, Porcellini, Facchini, Kimi Perna, Cattoglio, Sartori, Ambrosi, Schambach, Baum, Bonini, Bovolenta, Mavilio, Recchia, “Transcriptional Enhancers Induce Insertional Gene Activation Independently from the Vector Context”, Molecular Therapy, 2009 May; 17(5):851-6.
  • Montini, Cesana, Schmidt, Sanvito, Bartholomae, Ranzani, Benedicenti, Sergi Sergi, Ambrosi, Ponzoni, Doglioni, Di Serio, von Kalle,  Naldini, “The Genotoxic Potential of Retroviral Vectors is Strongly Modulated by Vector Design and Integration Site Selection”, J. Clin. Invest., 2009 Apr; 119(4):964-75.
  • Nitti, Marchet, Mocellin, Rossi, Ambrosi, Mencarelli, “Prognostic value of Subclassification of T2 Tumors in Patients with Gastric Cancer”, Br J Surg., 2009 Mar 12; 96(4):398-404.
  • Montini, Cesana, Schmidt, Sanvito, Bartholomae, Ranzani, Benedicenti, Sergi Sergi, Ambrosi, Ponzoni, Doglioni, Di Serio, von Kalle,  Naldini, “The Genotoxic Potential of Retroviral Vectors is Strongly Modulated by Vector Design and Integration Site Selection”, Hum. Gene Ther., Oct 2008; 19(10).
  • Ambrosi, Cattoglio, Di Serio, “Retroviral Integration Process in Human Genome: is it Really not Random? A New Statistical Approach”, PLoS Comput. Biol., 2008 Aug.; 4(8): e1000144.
  • Marchet, Mocellin, Ambrosi, de Manzoni, Di Leo, Marrelli, Roviello, Morgagni, Saragoni, Natalini, De Santis, Baiocchi, Coniglio, Nitti, “The Prognostic Value of N-ratio in Patients with Gastric Cancer: Validation in a Large, Multicentric Series”, Eur J Surg Oncol. 2008 Feb;34(2):159-65.
  • Aiuti, Cassani, Andolfi, Miralo, Biasco, Recchia, Urbinati, Valacca, Scaramuza, Cazzola, Sartori, Ambrosi, Di Serio, Roncarolo, Mavilio, Bordignon, “Reconstruction of Multilineage Hematopoiesis Without Clonal Selection in Adenosine Deaminase (ADA)-Deficient Patients with Stem Cell Gene Therapy”, J. Clin. Invest., Aug 2007; 117: 2233 – 2240.
  • Marchet, Mocellin, Ambrosi, Morgagni, Garcea, Paragon, Marrelli, Rovello, Pedrazzani, de Manzoni, Di Leo, Minicozzi, Natalini, De Santis, Boncompagni, Tiberio, Baiocchi, Coniglio, Nitti, “The Ratio Between Metastatic and Examined Lymph Nodes (N-ratio) is an Independent Prognostic Factor in Gastric Cancer Regardless of the Type of Lymphadenectomy: Results from an Italian Multicentric Study in 1,853 Patients”, Ann. Surg., 2007 Apr; 245(4).
  • Montini, Cesana, Manfred, Sanvito, Ponzoni, Sergi Sergi, Benedicenti, Bartholomae, Ambrosi, Di Serio, Doglioni, von Kalle, Naldini “Hematopoietic Stem Cell Gene Transfer in a Tumor-Prone Mouse Model Uncovers Low Genotoxicity of Lentiviral Vector Integration”, Nature Biotech; 2006 Jun;24(6)
  • Mocellin, Hoon, Ambrosi, Nitti, Rossi, ”The Prognostic Value of Circulating Tumor Cells in Patients with Melanoma: a Systematic Review and Meta-analysis”, Clin Cancer Res. 2006 Aug 1;12(15):4605-13.
  • Mocellin, Ambrosi, Rossi, Montesco, Nitti, “Support Vector Machine Learning Model for Prediction of Sentinel Node Status in Patients with Cutaneus Melanoma”, Ann Surg Oncol. 2006 Jul 19.

Researcher in Statistics (SEC-S/01)

Curriculum

Degree in Statistics at the University of Padua in 1996, PhD in Statistics 1999. Post dot and a research fellow at the Department of Oncological Sciences, University of Padova and at the Centre for Statistics (CUSSB), University Vita-Salute San Raffaele. Visiting student at the Centre for Mathematical Physics and Stochastic, Department of Mathematica Sciences, University of Aarhus, Denmark (1998). SFI2 visiting researcher at the University of Oslo, Norway (2007 and 2009).

Fields of research Area di ricerca

·         non parametric statistical methods

·         machine learning

·         statistical methods in genetics

Seelected papers

Biasco, Ambrosi, Pellin, Bartholomae, Brigida, Roncarolo, Di Serio, von Kalle, Schmidt, Aiuti, “Integration Profile of Retroviral Vector in Gene Therapy Treated Patients is Cell-Specific According to Gene Expression and Chromatine Conformation of Target Cell”, EMBO, 2011, 3(2) 89-101.

Cattoglio, Pellin, Rizzi, Maruggi, Corti, Miselli, Sartori, Guffanti, Di Serio, Ambrosi, De Bellis, Mavilio, “High-Definition Mapping of Retroviral Integration Sites Identify Active Regulatory Elements in Human Multipotent Hematopoietic Progenitors”,  Blood. 2010 Sep 23. [Epub ahead of print].

Nigro, Brini, Soprana, Ambrosi, Dombrowicz, Siccardi, Vangelista, “Anti-tumor IgE Adjuvanticity: Key Role of FcεRI”, Journal of Immunology, 2009; 183(7):4530-4536.

Sauer, Mrak, Hernandez, Zacchi, Cavani, Casiraghi, Grunebaum, Roifman,  Cervi, Ambrosi, Carlucci, Roncarolo, Villa, Rubinacci, Aiuti, “ADA-Deficient SCID is Associated with a Specific Microenviroment and Bone Phenotype Characterized by RANKL/OPG Imbalance and Osteoblasts Insufficiency”, Blood, 2009; 114(15): 3216-3226.

Ambrosi, Di Serio, “Vectors and Integration in Gene Therapy: Statistical Considerations”, Journal of Computer Science & Systems Biology, 2009, 2:117:123.

Maruggi, Porcellini, Facchini, Kimi Perna, Cattoglio, Sartori, Ambrosi, Schambach, Baum, Bonini, Bovolenta, Mavilio, Recchia, “Transcriptional Enhancers Induce Insertional Gene Activation Independently from the Vector Context”, Molecular Therapy, 2009 May; 17(5):851-6.

Montini, Cesana, Schmidt, Sanvito, Bartholomae, Ranzani, Benedicenti, Sergi Sergi, Ambrosi, Ponzoni, Doglioni, Di Serio, von Kalle,  Naldini, “The Genotoxic Potential of Retroviral Vectors is Strongly Modulated by Vector Design and Integration Site Selection”, J. Clin. Invest., 2009 Apr; 119(4):964-75.

Nitti, Marchet, Mocellin, Rossi, Ambrosi, Mencarelli, “Prognostic value of Subclassification of T2 Tumors in Patients with Gastric Cancer”, Br J Surg., 2009 Mar 12; 96(4):398-404.

Montini, Cesana, Schmidt, Sanvito, Bartholomae, Ranzani, Benedicenti, Sergi Sergi, Ambrosi, Ponzoni, Doglioni, Di Serio, von Kalle,  Naldini, “The Genotoxic Potential of Retroviral Vectors is Strongly Modulated by Vector Design and Integration Site Selection”, Hum. Gene Ther., Oct 2008; 19(10).

Ambrosi, Cattoglio, Di Serio, “Retroviral Integration Process in Human Genome: is it Really not Random? A New Statistical Approach”, PLoS Comput. Biol., 2008 Aug.; 4(8): e1000144.

Marchet, Mocellin, Ambrosi, de Manzoni, Di Leo, Marrelli, Roviello, Morgagni, Saragoni, Natalini, De Santis, Baiocchi, Coniglio, Nitti, “The Prognostic Value of N-ratio in Patients with Gastric Cancer: Validation in a Large, Multicentric Series”, Eur J Surg Oncol. 2008 Feb;34(2):159-65.

Aiuti, Cassani, Andolfi, Miralo, Biasco, Recchia, Urbinati, Valacca, Scaramuza, Cazzola, Sartori, Ambrosi, Di Serio, Roncarolo, Mavilio, Bordignon, “Reconstruction of Multilineage Hematopoiesis Without Clonal Selection in Adenosine Deaminase (ADA)-Deficient Patients with Stem Cell Gene Therapy”, J. Clin. Invest., Aug 2007; 117: 2233 – 2240.

Marchet, Mocellin, Ambrosi, Morgagni, Garcea, Paragon, Marrelli, Rovello, Pedrazzani, de Manzoni, Di Leo, Minicozzi, Natalini, De Santis, Boncompagni, Tiberio, Baiocchi, Coniglio, Nitti, “The Ratio Between Metastatic and Examined Lymph Nodes (N-ratio) is an Independent Prognostic Factor in Gastric Cancer Regardless of the Type of Lymphadenectomy: Results from an Italian Multicentric Study in 1,853 Patients”, Ann. Surg., 2007 Apr; 245(4).

Montini, Cesana, Manfred, Sanvito, Ponzoni, Sergi Sergi, Benedicenti, Bartholomae, Ambrosi, Di Serio, Doglioni, von Kalle, Naldini “Hematopoietic Stem Cell Gene Transfer in a Tumor-Prone Mouse Model Uncovers Low Genotoxicity of Lentiviral Vector Integration”, Nature Biotech; 2006 Jun;24(6).

Mocellin, Hoon, Ambrosi, Nitti, Rossi, ”The Prognostic Value of Circulating Tumor Cells in Patients with Melanoma: a Systematic Review and Meta-analysis”, Clin Cancer Res. 2006 Aug 1;12(15):4605-13.

Mocellin, Ambrosi, Rossi, Montesco, Nitti, “Support Vector Machine Learning Model for Prediction of Sentinel Node Status in Patients with Cutaneus Melanoma”, Ann Surg Oncol. 2006 Jul 19.

Il titolare del presente curriculum vitae, pubblicato online sul portale www.unisr.it, è garante in via esclusiva della correttezza e della veridicità dei dati e delle informazioni in esso riportate e del loro eventuale e puntuale aggiornamento. Egli è dunque il diretto ed unico responsabile dei contenuti indicati nei propri curricula.