I am an independent public health consultant with more than 20 years of professional experience in community and public health in humanitarian crises and developing country-settings, including as a community health worker, medical doctor, and most recently as the Head of Valid Measures, the specialised metrics, analytics and technology unit of Valid International. I have expertise in spatial epidemiology, geo-statistics, cartography and statistical programming. In my role as head of Valid Measures, I led the design, development and implementation of innovative surveys and assessments on health and nutrition and bespoke analytical approaches that leverage the advantages of Bayesian statistics and resampling techniques. I am a founding member of Katilingban, a collective of public health and nutrition experts and practitioners. I am currently a consulting research data scientist for EcoHealth Alliance to support its computational analytics work in support of pandemic preparedness and One Health research and a Senior Research and Teaching Associate at the Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford.
Master of Public Health, 2005
Harvard School of Public Health
Certificate in Humanitarian Studies, 2005
Harvard School of Public Health
Doctor of Medicine, 2001
University of the Philippines
BSc in Basic Medical Sciences, 1998
University of the Philippines
Lecture postgraduate students on topics related to famines, development and humanitarian interventions for health, and evaluation methods for development and health
Lead the organisation and teaching of module on Open Science and Reproducible Research in R
Support the creation of a database of active infectious disease research activities and research scientists in Africa
Conduct training in how to use the database and background in priority zoonoses
Provide Africa Centres for Disease Control and member states with direct technical support and subject matter expertise in One Health and zoonotic disease
Programmatically develop pipeline to acquire, standardise, and aggregate suitable data sources for the prediction of accidental introduction of zoonotic disease and organise the data in a version-controlled, structured database usable for analysis and modelling
Fit model to predict the frequency/risk of accidental zoonotic disease introduction in a country, based on a network representation of linkages between source and destination countries
Support model testing, performance assessment, and iterative model refinements to improve model suitability
Develop, maintain, update, and refine models of COVID-19 infection, spread and associated processes
Develop, maintain, update, and refine reports, visualisations, and dashboards of disease data and model results
Write and edit reports and summaries of results for various health, policy, public, and scientific audiences
Provide analyses and visualisations in response to inquiries from project partners and policy makers
Maintain, refactor, and document computer code for sharing, reuse, and publication
Support organizational data management, infrastructure, and modelling practices
Leads the development and implementation of the strategic direction of the collective
Leads the analytics and software development services unit of the collective
Led design, development and implementation of innovative approaches, techniques and products for surveys and assessments focusing on health and nutrition for purposes of programme monitoring and evaluation, impact assessment, programme coverage and access or any other metric/indicator estimation
Led the design and development of bespoke analytical techniques and the accompanying programming scripts and workflows for estimating various metrics/indicators, specifically leveraging Bayesian statistics, resampling approaches and Monte Carlo methods
Trained and supervised a team of 5 survey technicians and data analysts
Led Valid International’s Community-based Management of Acute Malnutrition (CMAM) coverage assessment team and has conducted coverage surveys in Somalia, Kenya, Ethiopia, Zambia, Nigeria, Niger, India and Ghana.
Pioneered the design and development of specially designed methods to assess CMAM coverage such as Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) and Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC).
Co-developed a spatial sampling technique called Simple Spatial Sampling Method (S3M) for use in large-scale multi-indicator surveys that reports and maps indicator results at high spatial resolution at a national or regional level.
Co-developed a low-cost, rapid assessment method for assessing nutritional status of children, women and elderly.