Food Systems Research · Project Management · Monitoring and Evaluation (M&E)
Connecting evidence to action in food systems.
I work across research, data, and program coordination, with experience spanning the UN system, academic fieldwork, and community-based agriculture initiatives.
I am Anudari Achitsaikhan, a New York-based food systems researcher and evaluation specialist working at the intersection of agriculture, nutrition, and climate resilience. My field experience ranges from studying smallholder drought adaptation in Indonesia to working at an aquaponics greenhouse in the Netherlands and investigating climate-induced migration and food security in Mongolia.
Educated at McGill University, Utrecht University, and the University of Edinburgh, I spent my early career across UN agencies including FAO, UNOSAT, and UNEP, where I built monitoring architecture and evaluation systems for global programs. As a Mongolian-American, I combine institutional research with a grounded commitment to local contexts, ensuring data systems remain directly answerable to the communities they serve.
I combine policy research with hands-on agricultural experience across food systems, nutrition, and climate resilience. At FAO, I synthesized project outcomes across agricultural productivity, soil health, and food security to communicate results to donors and governments. My field research and work in community-based growing reinforce that urban agriculture and local food initiatives succeed only when designed around local context and community participation.
I’ve managed multi-country initiatives across the UN system, coordinating between government ministries, donor agencies, and technical specialists. My approach centers on keeping complex, distributed programs structured and on schedule through clear communication, standardized workflows, and disciplined tracking across multi-stakeholder portfolios.
My M&E work focuses on building measurement architecture that turns field evidence into actionable guidance. I design theories of change, logical frameworks, SMART indicators, and Power BI dashboards, pairing quantitative survey analysis with qualitative field interviews to ensure metrics reflect on-the-ground reality.
I design and facilitate targeted training across diverse audiences, ranging from results-based management workshops for national officials to grassroots community programs. Across all roles, my focus is converting complex technical standards, e-learning content, and M&E guidance into accessible, practical tools for colleagues and field partners.
Completed part-time alongside full-time work to deepen technical specialization in food systems, nutrition policy, and quantitative analysis. Thesis focused on climate-induced migration and household food insecurity in Ulaanbaatar. (Full details in the Field Research section.)
Built the foundation for my research methodology and field-based work. Included three months of field research in Bali studying smallholder drought resilience, alongside a research semester evaluating humanitarian aid delivery in refugee camps across Greece and Turkey.
Provided a strong grounding in development theory, global systems, and political economy.
My work with data centers on turning both qualitative field insights and quantitative metrics into actionable guidance. Across my career, I have conducted qualitative farmer interviews in Indonesia, constructed monitoring dashboards for multi-country UN programs, and analyzed household survey datasets for my master's thesis. I prioritize disaggregated metrics to ensure data brings specific disparities to light rather than obscuring them behind high-level averages.
To complement my foundation in SPSS and Power BI, I am expanding my technical capabilities into SQL and Python, applying these tools to streamline analysis, evaluate complex programs, and ground strategy in reliable evidence.