Personal Information
Organization / Workplace
Cambridge, United Kingdom United Kingdom
Occupation
Global Head of Real World Evidence Epidemiology
Industry
Medical / Health Care / Pharmaceuticals
About
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
See more
Presentations
(7)Likes
(2)Data Extraction
Effective Health Care Program
•
13 years ago
Presentation given at UCSF Precision Medicine meeting 4/11/2015
University of California, San Francisco
•
9 years ago
Personal Information
Organization / Workplace
Cambridge, United Kingdom United Kingdom
Occupation
Global Head of Real World Evidence Epidemiology
Industry
Medical / Health Care / Pharmaceuticals
About
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
See more