Federico Ambrogi, PhD

Department of Biostatistics, University of Milan, Department of Clinical Sciences and Community Health, Laboratory of Medical Statistics and Biometry “Giulio A. Maccacaro”, Campus Cascina Rosa, Via Vanzetti 5, 20133 Milano, Italy

Federico Ambrogi PhD, is Associate professor of Biostatistics, Department of Clinical Sciences and Community Health, University of Milan. Born 24 June 1972. Graduated in economics, Bocconi University, Milan, with a thesis on ”Genetic Algorithms for the choice of the statistical model” in 1997. He received the Ph.D. in Biomedical Statistics in 2010 discussing a thesis on “Regression models for the study of the Cumulative Incidence Functions in competing risks problems”.

From 1998 to 2001 he was Consultant for Nunatac, SAS Institute quality partner, involved in data analysis for decision support systems. He joined the research group of Prof. Ettore Marubini in 2001. From 2001 to 2005 he was Research fellow at Istituto Nazionale per lo Studio e la Cura dei Tumori on “Flexible regression methods for the study of survival data”. From 2006 to 2011 he was Research Fellow, Institute of Medical Statistics and Biometry, University of Milan.

Since February 2011 he is Researcher of biostatistics at the University of Milan and starting from 2015 associate professor. He teaches Bio-Medical Statistics at the International Medical School and Survival Analysis at the Master and phD in Medical Statistics. He was member of the executive board of the international biometric society – Italian region and has now the responsibility for the educational activity. He is editor for Scientific Reports (Cancer area) and editorial statistical consultant for other medical journals.

His main research interests concerns computational statistics and machine learning methods for the analysis of complex biomedical data, also in presence of censored survival times and with special emphasis on competing risks applications. In particular its interest is in the estimation of clinically useful measures for quantifying the added usefulness of the information related to biomarkers and genomic/proteomic data from high throughput experiments for patient prognosis. He studied methods based on pseudo-values and on IPCW for the application of standard regression methods with censored data developing collaborations with Prof. PK Andersen and T Scheike.

Another topic of interest regards multivariate analysis and pattern recognition for the study of complex diseases, mainly in high dimensional settings such as omic studies.He developed applications based on multivariate techniques for the study of breast cancer highlighting the need for bio-molecular profile identification of complex diseases. He developed collaborations with Italian and international groups of pathologists for the definition of this problem which has become of central importance with the advent of high-throughput technologies. In last years the scientific activity was focused at bio-statistical support in different areas of biomedical and clinical research also through integration with bioinformatics research in several European and National projects. He co-organized the 8th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB), in Gargnano del Garda, 2011, aiming at foster integration between Biostatistics and Bioinformatics. He was the biostatistical Technical chair for CIBB 2012 in Huston, Texas, at the Methodist Hospital, a worldwide excellence facility in nanobiotechnology and nanomedicine for diagnosis and therapy. He participated in the RNBIO Italian Network for Oncology Bioinformatics (ISS-ACC) and co-organizing a course for IRCCS Researches on Biostatistics for Bioinformatics. He worked for the Biopattern network of excellence FP6 project:” Computational Intelligence for Biopattern Analysis in Support of e-Healthcare”. He collaborates with the Functional Genomics and Proteomics group of Fondazione IRCCS National Cancer Institute regarding the study design, data normalization and their Computational processing and for PhD students tutoring. He is now also involved in developing bio-statistical support (from protocol writing to analysis) for research projects at IRCCS Policlinico San Donato involving mainly cardiological research.

He is component of the Research Laboratory of Medical Statistics, Biometry and epidemiology “GA Maccacaro” which is involved in study design and analysis and in developing statistical methods to support clinical and experimental research. Main biomedical fields of interest are in the context of cardiological, oncological and reumathological research. A special interest in genomic analysis is aimed in assessing the interrelationships among established biomarkers and staging techniques with genomic bioprofiles for the definition of subgroups responsive to pharmacological treatments in many diseases.