Welcome to

Innovate AI Health Lab

Where we embark on a journey of exploration as we delve into the depths of cutting-edge research.

Research Areas

Mathematical Modelling

Mathematical modeling is the process of using mathematical equations and techniques to represent and understand real-world phenomena. It is a powerful tool for understanding complex systems, predicting outcomes, and exploring different scenarios. 

Further, mathematical modelling allows researchers and scientists to study phenomena that may be difficult to observe directly, simulate experiments, and explore the effects of various parameters and conditions. Mathematical modelling offers a low-cost approach for theoretical evaluation of detection, prevention and control programs to help the affected stakeholders understand the effects of different policy decisions.

Health Informatics

Health informatics involves the use of information technology and a variety of computational methods to enhance healthcare and improve patient outcomes. To benefit medical personnel, patients, and caregivers, we utilize technology to collect, store, and analyze health-related data. 

Among our research areas are sexual and reproductive health, noncommunicable diseases, communicable diseases, and neglected diseases. Using various forms of information technology, we strive to solve community-level problems.

Artificial Intelligence

Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the modern era. Artificial intelligence refers to the development of computer systems that perform tasks that require human intelligence.

 Our research team aims at using artificial intelligence to address various societal challenges in healthcare. By analyzing vast quantities of patient data and medical research, we plan to use AI to prevent and detect diseases and diagnose medical conditions. We also focus on agriculture and climate change. Our research focuses on precision farming, climate prediction and adaptation, crop monitoring, and disease detection. Using the Internet of Things (IoT) and artificial intelligence, we monitor environmental changes in real-time.

Machine Learning

In recent years, advancements in machine learning, fuelled by big data and improved computing power, have propelled AI to new heights. Machine learning algorithms, particularly deep learning, have demonstrated unprecedented capabilities in tasks like image and speech recognition, natural language processing, and game-playing. 

Machine learning has emerged as a transformative tool for researchers where disease detection, climate change, and agriculture are the core focus of the team. The team has used machine learning to identify patterns and risk factors, enabling pattern recognition for patterns in various diseases. The team uses machine learning to analyze vast datasets to predict and mitigate environmental impacts.


The InnovativeAIHealthLab is a research group specializing in Artificial Intelligence and Computational Modelling and is located at the University of Embu, Kenya. Comprised of four dedicated experts and scholars, the lab is focused on addressing healthcare challenges in sub-Saharan Africa by harnessing the power of computational technology. The goal of InnovativeAIHealthLab is to advance knowledge and generate region-specific solutions and influence policy decisions in the field of healthcare. Our primary objective is to develop intelligent agents that can comprehend, learn, and assist adolescents and young adults in addressing health-related issues. Collaboration across different disciplines is highly valued within our group, as we proactively seek partnerships with industry, academia, and other research institutions. By combining our diverse expertise, exchanging knowledge, and contributing to the global progress of AI and computational modeling, we strive to make significant advancements in the field. Our research group places a strong emphasis on ethics and responsible AI practices. We are committed to ensuring that the development and implementation of AI technologies are conducted with transparency, fairness, and accountability in mind.

Furthermore, we actively disseminate our findings and contribute to the academic community through publications, conferences, and open-source initiatives. By disseminating knowledge and collaborating with fellow researchers, we aim to foster an environment of continuous learning and innovation that benefits society. Our ultimate objective is to push the boundaries of AI capabilities and make a positive societal impact by harnessing its potential responsibly and ethically.

Our upcoming Event

The Team

Dr. Victoria Mukami

Lecturer - University of Embu

Dr. David Muchangi Mugo

Lecturer - University of Embu

Dr. Consolata Gakii

Lecturer - University of Embu

Dr. Marilyn Ronoh

Lecturer - University of Embu


BESHTE: A Chatbot to enhance HIV testing, status awareness, and status disclosure among adolescent boys and girls and young men and women in Kenya

Using Computational Modelling and Artificial Intelligence to Enhance HIV Testing, Status Awareness and Status Disclosure.

Innovative Multidisciplinary Ethically Informed Student Projects Through Critical Thinking and Design Thinking: A Case of The University of Embu.

Grant Sponsors

We are proud to have been funded by:


Whether you’re curious about features, research, or publication, we’re here to answer any questions.