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Conferència a càrrec del Dr. Stefano Cacciatore

Títol: "Development of an algorithm for rapid and robust metabolite assignment and quantification in urine NMR data"
Autor: Dr. Stefano Cacciatore. Research Associate at the Imperial College, London
Dia: Dilluns, 27 de març de 2017
Hora i lloc: A les 10:30 a la Sala 331 del DEEEA.

Short CV: Stefano Cacciatore studied Biotechnology at the University of Florence. As a PhD student at Center of Magnetic Resonance in Florence, his research focused on developing of clinical diagnostic tests in the metabolomic area. He used Nuclear Magnetic Resonance (NMR) spectroscopy and advanced statistical analysis techniques to identify and predict metabolomic profiles. In particular, his work paves the way to the improvement of the data analysis of big data with the publication of KODAMA algorithm. In 2013, as Postdoc at Dana-Farber Cancer Institute (principal teaching affiliate of Harvard Medical School), his research focused on identifying metabolic fingerprint predictors of prostate cancer development and progression to improve our understanding of the mechanisms linking metabolism with the biology of prostate cancer. He worked on developing of new Standard Operation Procedures for metabolomic analysis in formalin fixed paraffin embedded tissues. Dr Stefano Cacciatore is currently Research Associate at the Imperial College where he is actively involved in pregnancy research using the most advanced techniques in biological sciences (i.e., metabolomic profiling and next-generation sequencing).

Normal 0 21 false false false CA X-NONE X-NONE MicrosoftInternetExplorer4 Modelación y control del convertidor multinivel modular (MMC) para transmisión de corriente continua de alto voltaje (HVDC)
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