Team

Role: Team lead 

Dr. Dennis Makau is an epidemiologist and applied data scientist advancing anticipatory epidemiology across interconnected human, animal, and environmental systems. His work integrates epidemiologic modeling, genomics, data science, and systems approaches to understand population health, identify emerging risks, and move from reactive response toward proactive decision-making. He develops analytical approaches and decision-support tools that transform complex data into actionable intelligence for prevention, surveillance, biosecurity, and resilient health systems.

Research Interests: Anticipatory epidemiology and early warning systems; population health and epidemiologic modeling; integrated surveillance and biosecurity analytics; genomic epidemiology and phylodynamics; forecasting and risk prediction; One Health and resilient health systems.

Role: Research specialist

Dr. Ghosh is a public health professional with expertise in infectious disease epidemiology, zoonotic disease surveillance, and One Health. His work spans avian influenza, antimicrobial resistance, rabies control, outbreak investigation, and large-scale field studies. He brings strong experience in epidemiologic modeling, biostatistics, geospatial analysis, data management, and translating research findings into practical public health action. 

Role: PhD student

Dr. Ronnoh veterinarian and PhD student in Comparative and Experimental Medicine. His work examines AMR in companion animals and its potential implications for animal and human health, building on previous experience in rabies surveillance, community health, and One Health initiatives in northern Kenya. At PEDIL, Job employs epidemiologic and data-analytic methods to research on antimicrobial resistance, companion-animal epidemiology, and One Health surveillance at the human–animal interface. 

Role: PhD student

Dr. Islam is a veterinarian, epidemiologist and PhD student in Comparative and Experimental Medicine whose work focuses on infectious disease epidemiology, antimicrobial resistance, livestock health, and applied data analysis. His research has addressed zoonotic and livestock diseases in Bangladesh using epidemiologic, statistical, and surveillance approaches. At PEDIL, his interests include applying quantitative and data-science methods to population health and disease surveillance.