Jean-Baptiste Cazier

Senior Fellowship of the Higher Education Academy @Higher Education Academy

London, GB
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Dec 2023 — Present

Senior Fellowship of the Higher Education Academy @Higher Education Academy

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Senior Fellowship of the Higher Education Academy (SFHEA) is an advanced level of professional standing that evidences expertise in teaching and learning in Higher Education.

EDUCATION

N/A

Université Joseph Fourier (Grenoble I)

MSc

1996 — 2000

SLU - Swedish University of Agricultural Sciences

PhD

1996 — 2000

Lund University

PhD

SKILLS

Data AnalysisFunctional GenomicsCProgrammingClinical TrialsGeneticsSystems BiologyStatisticsMolecular GeneticsMathematical ModelingBiostatisticsBioinformaticsMatlabFunSequencingStatistical GeneticsMolecular BiologyIntegrationMathematicsCancerBiotechnologyC++DatabasesOncologyInformaticsData VisualizationComputer ScienceMysqlSqlLinuxScienceAlgorithmsMetabonomicsBioconductorComputational BiologyPythonResearchCancer ResearchSimulationGene Expression Profiling

ABOUT JEAN-BAPTISTE CAZIER

Director and founder of the Centre for Computational Biology, Prof Cazier has experience in creating and leading multi-disciplinary teams of scientists to tackle Biological, Clinical and Population Diversity issues.He was recently leading the analysis of the UK Coronavirus Cancer Monitor Project (UKCCMP) which is instrumental in support Cancer patients and professionals to tackle the Covid-19 pandemic. Lead research in Data Sciences for the Life Sciences, he has been working in Cancer Bioinformatics, working on cutting edge research in Genomics using Next Generation Sequencing, metabonomics, SNParrays, micro arrays, miRNA and high throughput clonal sequencing.He relishes the development of new technologies as well as people, bringing together the best of methods and scientists.Specialties: Data Science, Bioinformatics, Next Generation Sequencing, Cancer Genetics, Population genetics, Copy Number Variation, Clonal Sequencing, Linkage and Genome-wide Association studySNP-arrays, miRNA integration, Metabonomics,Linkage Disequilibrium, Statistics, Genomics

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