Abriti Arjyal has more than a decade of experience in the health system and social research, with specific expertise in implementation science and applied research. As a Research Manager in Qualitative and Multidisciplinary Science, she has led and contributed to several research projects as a co-investigator, thematic lead, or a member of the research team. and has established a network with national and international research experts. She has wide-ranging experience in the application of numerous research methods, including qualitative tools and techniques, participatory action research, and community engagement. She is also experienced in the analysis of qualitative data using data management software and frameworks. She is especially well-versed in conducting research using gender and intersectionality approaches, with a focus on marginalized and vulnerable populations.
Using applied systems thinking methods, Ms. Arjyal helped design and implement multi-country initiatives as part of the ReBUILD for Resilience and Community-led Responsive and Effective Urban Health Systems (CHORUS) consortia. Her leadership roles within these projects requires coordination with academic partners, government stakeholders to ensure that the research is contextual in nature and relevant to shaping health and climate policy. In these another research grants she has managed, Ms. Arjyal has worked closely with policy-makers to provide sound evidence and advocate for marginalized and vulnerable populations.
As a health researcher, Ms. Arjyal has studied a broad range of topics, including antimicrobial resistance, gender and sexual disparity in accessing services, family planning, and health systems resilience in the face of climate change. She also led the systematic review and stakeholder engagement process to craft national guidelines on Antimicrobial Resistance in collaboration with WHO. As a Research Manager, she has mentored public health students and young researchers at HERD International, helping to hone their skills in field research, data analysis, ethics, and inclusivity.