Bridging policy, technology, and service delivery to help governments and institutions build more effective, inclusive, and resilient social systems.
I lead complex social protection programs for governments and multilateral institutions, with a focus on systems that work when people need them most — during disasters, climate shocks, and economic transitions.
For the past six years I've been task team leader at the World Bank for adaptive social protection (ASP), dynamic social registries, labor migration, skills development, cash transfers, disaster risk financing components of ASP, technical reports and advisory assistance. I have worked across governments, structuring multi-donor operations with DFAT, MFAT, and UN partners. Earlier work spans the Australian Government, the African Development Bank, and NSW performance audit — in Latin America and the Caribbean and Africa — and academic research at LSE and UNSW.
I bring solutions to the questions clients are actually wrestling with, such as: how to build social registries that hold up under cyclone conditions; how to design cash transfers that reach the remotest poor; how to align labor mobility with development outcomes; and how to make climate-smart programs that don't leave women and informal workers behind.
As part of Manta Intelligence Labs, I lead a team of specialists in delivering services in the space of AI, policies, capacity building, and social delivery systems.
Designing systems that scale up during shocks — cyclones, pandemics, droughts — and scale down without leaving people behind. Operational, not theoretical.
Building IT infrastructure and governance for inclusive, gender-smart, interoperable registries that deliver — across ministries and humanitarian partners.
Pacific labor schemes, public employment services, diaspora and remittances. Joint analytical work with academic and policy partners.
Embedding gender from project design through delivery — and evaluating what actually shifts outcomes for women and marginalised groups.
Aligning social protection with climate finance and DRM — so systems are paid for, governed, and delivered with the resilience their context demands.
Mixed-methods evaluation of cash transfers, top-ups, and humanitarian programs. Reports tabled in parliaments, working papers, and peer-reviewed publications.
How LLMs Can Support PES and Social Assistance. Large language models can ease the administrative burden across employment and social assistance delivery — staff-facing knowledge assistants, intake and case documentation, and vacancy and skills classification — with firm limits on automated decision-making.
In Anand, Fennell & Comim, Handbook of BRICS and Emerging Economies.
CCT implementation in remote rural Brazil. 21st FISS International Research Seminar.
IFIP International Conference on AI Applications and Innovations.
Australian National University, Canberra.
An analysis of Brazil's Bolsa Família CCT programme. Titmuss-Meinhardt Scholar.