Personal Information
Unternehmen/Arbeitsplatz
Cambridge, United Kingdom United Kingdom
Beruf
Global Head of Real World Evidence Epidemiology
Branche
Medical / Health Care / Pharmaceuticals
Info
Athula Herath, PhD
Data and statistical scientist shaping and enabling pharmaceutical statistical organisations to design and statistically engineer pharmaceutical (clinical, epidemiological, translational, biomarker, research and discovery) studies.
Specialties: Design and analysis of (uncommon) clinical, observational and biomarker studies, statistical modelling/simulation of biomarkers (genetics, genomics, proteomics, metabolomics) for disease onset, progression, clinical effect and outcome. Meta analysis, data mining, machine-learning, multivariate and high dimensional statistics, Big-data Analytics and Real World Evidence Synthesis.Therapeutic/treatment strategy simulation
Tags
diagnostics personalised medicine
public health
disease phenotypes
statistics and epidemiology
precision medicine
translational medicine
drug discovey
drug development
disease stratification
patient stratification
medicine
disease epidemilogy
artificial intelligence
ai
machine learning
evidence based medicine
evidence synthesis
big data
genomics
genetics
biology
clinical trial
research
statistics
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Präsentationen
(7)Gefällt mir
(2)Data Extraction
Effective Health Care Program
•
Vor 13 Jahren
Presentation given at UCSF Precision Medicine meeting 4/11/2015
University of California, San Francisco
•
Vor 9 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Cambridge, United Kingdom United Kingdom
Beruf
Global Head of Real World Evidence Epidemiology
Branche
Medical / Health Care / Pharmaceuticals
Info
Athula Herath, PhD
Data and statistical scientist shaping and enabling pharmaceutical statistical organisations to design and statistically engineer pharmaceutical (clinical, epidemiological, translational, biomarker, research and discovery) studies.
Specialties: Design and analysis of (uncommon) clinical, observational and biomarker studies, statistical modelling/simulation of biomarkers (genetics, genomics, proteomics, metabolomics) for disease onset, progression, clinical effect and outcome. Meta analysis, data mining, machine-learning, multivariate and high dimensional statistics, Big-data Analytics and Real World Evidence Synthesis.Therapeutic/treatment strategy simulation
Tags
diagnostics personalised medicine
public health
disease phenotypes
statistics and epidemiology
precision medicine
translational medicine
drug discovey
drug development
disease stratification
patient stratification
medicine
disease epidemilogy
artificial intelligence
ai
machine learning
evidence based medicine
evidence synthesis
big data
genomics
genetics
biology
clinical trial
research
statistics
Mehr anzeigen