Summary: I am a Marie Curie research fellow analysing genomic copy number variation and survival in primary melanoma patients
Location: Cancer Genetics Building
In 2016, I joined the University of Leeds as one of 17 Marie Curie research fellows in the MELGEN European Training Network, an EU Horizon 2020 funded innovative PhD training program composed of seven European Universities and five collaborating academic and commercial partners.
I finished a BSc in Statistics in Central Luzon State University (CLSU), Philippines in 2010 as a government scholar with undergraduate work on mean imputation and Markov Chain Monte Carlo imputation techniques in handling missing values in a dataset. After working as a research assistant in the National Genetic Program Unit of the Philippine Carabao Centre and biostatistician of University of Sto Tomas Centre for Drug Research, Evaluation and Studies, Inc., I was awarded an Accelerated Science and Technology Human Resource Development Program in 2011 by the Philippine Department of Science and Technology to study an MSc in Health Informatics-Bioinformatics track a joint program of College of Medicine and College of Arts and Sciences in University of the Philippines Manila (UPM). My graduate work focused on the classification of lung cancer using statistical and machine learning methods applied to gene expression data.
Aside from science, I have more than three years of corporate experience working on statistical financial models as a credit scoring specialist in the RCBC Savings Bank and as retail modelling analytics manager in the Australia and New Zealand Banking Group Limited.