Dennis Makau, DVM, MSc, PhD
Dr. Dennis Makau is an epidemiologist and applied data scientist whose research examines health risks across interconnected human, animal, and environmental systems. He combines epidemiology, data science, genomics, and computational approaches to study infectious disease dynamics, antimicrobial resistance, biosecurity, and surveillance. His work focuses on developing and applying data-driven methods to improve disease detection, risk assessment, and decision-making. Dr. Makau is committed to advancing population health through interdisciplinary research, collaboration, and mentorship.
Anticipatory epidemiology and predictive surveillance using genomics, phylodynamics, machine learning, and immunology to understand pathogen transmission, evolution, and emerging population health risks.
Epidemiology, biostatistics, health data science, and One Health risk analysis, with an emphasis on developing the next generation of interdisciplinary scientists and public health professionals.
Translating epidemiologic evidence into decision-support tools, surveillance systems, and biosecurity strategies through partnerships with academic, governmental, industry, and international stakeholders.
2407 River Drive
Knoxville, TN 37996
- PhD, Epidemiology, University of Prince Edward Island, 2019
- MS, Veterinary Epidemiology & Economics, University of Nairobi, 2014
- DVM, Bachelor of Veterinary Medicine & Surgery, University of Nairobi, 2012
Dennis Makau, DVM, MSc, PhD
2407 River Drive
Knoxville, TN 37996
- PhD, Epidemiology, University of Prince Edward Island, 2019
- MS, Veterinary Epidemiology & Economics, University of Nairobi, 2014
- DVM, Bachelor of Veterinary Medicine & Surgery, University of Nairobi, 2012
Dr. Dennis Makau is an epidemiologist and applied data scientist whose research examines health risks across interconnected human, animal, and environmental systems. He combines epidemiology, data science, genomics, and computational approaches to study infectious disease dynamics, antimicrobial resistance, biosecurity, and surveillance. His work focuses on developing and applying data-driven methods to improve disease detection, risk assessment, and decision-making. Dr. Makau is committed to advancing population health through interdisciplinary research, collaboration, and mentorship.
Anticipatory epidemiology and predictive surveillance using genomics, phylodynamics, machine learning, and immunology to understand pathogen transmission, evolution, and emerging population health risks.
Epidemiology, biostatistics, health data science, and One Health risk analysis, with an emphasis on developing the next generation of interdisciplinary scientists and public health professionals.
Translating epidemiologic evidence into decision-support tools, surveillance systems, and biosecurity strategies through partnerships with academic, governmental, industry, and international stakeholders.