Research Interests

Here are my research interests across multiple disciplines, reflecting my dedication to advancing scientific knowledge and enhancing health and agricultural outcomes in diverse sectors.

Genomic Surveillance for One Health

This research focuses on using genomic tools to monitor, understand, and mitigate the risks of infectious diseases at the interface of human, animal, and environmental health. By integrating cutting-edge genomics with epidemiology and bioinformatics, the aim is to enhance disease surveillance, antimicrobial resistance tracking, and the development of targeted interventions

Diagnostics and Vaccine Development

Focusing on developing innovative diagnostic tools and vaccines to enhance disease detection, prevention, and control in livestock. By integrating molecular biology, immunology, and bioinformatics, we aim to improve animal health, reduce disease burden, and support sustainable livestock production.

Evolutionary Genomics of Livestock and Wildlife

To explore the genetic adaptations, evolutionary history, and interactions between domesticated animals and wildlife. By leveraging advanced genomic tools, we aim to enhance livestock resilience, conserve biodiversity, and understand the genetic foundations of traits critical for survival, productivity, and disease resistance.

Climate-Smart Livestock Production

Aiming to improve animal health, welfare, and efficiency in diverse environments, my research focuses on sustainable and resilient livestock production systems that enhance productivity while adapting to climate change. Applying advanced genomic tools to identify genetic markers associated with disease resistance in livestock. This research will help in breeding animals that are more resilient to emerging infectious diseases, reducing the reliance on antibiotics and improving herd health. Additionally, optimizing livestock diets using locally available, climate-resilient feed ingredients and exploring strategies to enhance feed conversion efficiency, reduce methane emissions, and improve overall livestock performance under changing environmental conditions.

MERL systems research

Development of robust monitoring, evaluation, research and learning systems. Improving logic models such as Theory of Change (ToC) and Logical Frameworks (Logframes) used in agricultural research, agricultural research for development and international development.

• Design and Development of MERL Frameworks
• Impact Evaluation
• Use of Data and Technology
• Participatory Approaches
• Learning and Adaptive Management
• Contextual Factors
• Capacity Building and Strengthening
• Ethics and Accountability
• Integration of MERL into Program Design
• Policy and Practice