Matteo Cereda, Eng, Phd Email and Phone Number
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Biomedical Engineer with a doctorate in Genomics seeking to better understand the mechanisms underlying diseases, as alternative splicing, in the context of a personalized medicine. Over 15 years of experience working in bioinformatics. Currently, Associate Professor of Molecular Biology at the University of Milan and Group Leader of Cancer Genomics and Bioinformatics unit at the Italian Institute for Genomic Medicine (Candiolo, IT), focused on alternative splicing regulation, analysing next-generation sequencing data, standing up big-data analytical tools, creating and experimenally validating models, improving our understanding of personalized medicine, and on-boarding compelling new data sets. Previously, senior research associate at King's College London.Competencies: splicing regulation, RNA binding proteins, NGS data analysis, clonal reconstruction, data integration, R C++ Java PHP SQL bash scripting, machine learning, cloud computing, Illumina and Oxford Nanopore sequencing, targeted therapy.
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Associate ProfessorUniversità Degli Studi Di MilanoMilan, It -
Associate ProfessorUniversità Degli Studi Di Milano Jan 2022 - PresentMilan, Lombardy, Italy -
Principal InvestigatorIigm - Italian Institute For Genomic Medicine Jan 2019 - PresentCancer Genomics and Bioinformatics -
Mfag Principal InvestigatorIigm - Italian Institute For Genomic Medicine Jan 2018 - Dec 2018Turin Area, Italy -
Senior Scientist - BioinformaticsHugef Jul 2016 - Dec 2017Turin Area, Italy -
Senior Research Associate - BioinformaticsKing'S College London Jan 2014 - Jun 2016London, United KingdomI focused on Next Generation Sequencing technologies and identified genetic mutations affecting the immune system which may lead to the development of more than one colorectal tumour at the same time (synchronous colorectal cancers). I rebuilt the clonal evolution of 20 synchronous colorectal cancer from whole exome sequencing and genome wide SNP array data.Lecturer for Translational Bioinformatics Workshop 2015, King’s College London, UK. Class on identification of mutations from… Show more I focused on Next Generation Sequencing technologies and identified genetic mutations affecting the immune system which may lead to the development of more than one colorectal tumour at the same time (synchronous colorectal cancers). I rebuilt the clonal evolution of 20 synchronous colorectal cancer from whole exome sequencing and genome wide SNP array data.Lecturer for Translational Bioinformatics Workshop 2015, King’s College London, UK. Class on identification of mutations from next-generation sequencing data and analysis of clonal evolution. Show less -
Research Associate - BioinformaticsIeo Istituto Europeo Di Oncologia Sep 2011 - Dec 2013Milan, ItBioinformatics and Evolutionary Genomics of Cancer.Lecturer for the European School of Molecular Medicine, University of Milan, IT of classes for graduate students: • Cancer Evolution 2013; • Programming (R, C++ and bash) 2012, 2013. -
Visiting ScientistMrc Laboratory Of Molecular Biology (Lmb) Jan 2011 - Jun 2011Cambridge, United KingdomI focused on post-transcriptional regulatory networks and the analysis of RNA binding protein-mRNA interactions, and their role in neurodegenerative diseases. I developed RNAmotifs, a software that evaluates the sequence around differentially regulated alternative exons to identify multivalent RNA binding motifs that regulate mRNA splicing. -
Research Fellow - BioinformaticsScientific Institute Irccs 'E.Medea' Jan 2006 - Dec 2010Lecco Area, ItalyI developed a C++ class library to the purpose of making the implementation of sequence analysis algorithms easier and faster when genomic annotations and variations need to be considered.I developed machine learning models (i.e. support vector machines) to predict the effect of genomic alteration on pre-mRNA splicing.I worked on different research projects focusing on evolutionary genomics, the role of transposable elements in shaping the genome, and population… Show more I developed a C++ class library to the purpose of making the implementation of sequence analysis algorithms easier and faster when genomic annotations and variations need to be considered.I developed machine learning models (i.e. support vector machines) to predict the effect of genomic alteration on pre-mRNA splicing.I worked on different research projects focusing on evolutionary genomics, the role of transposable elements in shaping the genome, and population genetics.Lecturer of "Concept of Informatics" for the School of Medicine of University of Milan, IT. Classes for undergraduate students; 2007, 2008 and 2009.Web designer and developer of http://bioinformatics.emedea.it Show less
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Visiting Phd StudentMrc Laboratory Of Molecular Biology (Lmb) Mar 2010 - Sep 2010Cambridge, United KingdomI focused on the analysis of RNA binding-protein and mRNA interactions. I analysed data from splice junction microarray and iCLIP next generation sequencing (iCLIP-Seq) experiments to determine the RNA targets and position dependent splicing regulation by TDP-43 in neurodegenerative diseases as frontotemporal lobar degeneration and amyotrophic lateral sclerosis.
Matteo Cereda, Eng, Phd Skills
Matteo Cereda, Eng, Phd Education Details
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Complex Systems In Medicine And Life Sciences -
Biomedical Engineering
Frequently Asked Questions about Matteo Cereda, Eng, Phd
What company does Matteo Cereda, Eng, Phd work for?
Matteo Cereda, Eng, Phd works for Università Degli Studi Di Milano
What is Matteo Cereda, Eng, Phd's role at the current company?
Matteo Cereda, Eng, Phd's current role is Associate Professor.
What is Matteo Cereda, Eng, Phd's email address?
Matteo Cereda, Eng, Phd's email address is ma****@****l.ac.uk
What schools did Matteo Cereda, Eng, Phd attend?
Matteo Cereda, Eng, Phd attended Università Degli Studi Di Torino, Politecnico Di Milano.
What skills is Matteo Cereda, Eng, Phd known for?
Matteo Cereda, Eng, Phd has skills like Computational Biology, R, Systems Biology, Illustrator, Algorithms, Cell Biology, Genomics, Cancer Genomics, Data Analysis, Life Sciences, Microarrays, Html.
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