Timothy Kamanu
Lecturer · Statistics & Computing Unit, University of NairobiA lecturer at the Statistics and Computing Unit of the School of Mathematics, University of Nairobi, with broad interests in the application of Statistics and Mathematics to solutions of real-world problems.
Dr. Kamanu believes mathematical and statistical techniques are "most useful" when implemented through computation and simulation — making the beauty of these disciplines accessible beyond the specialist to the general public. DASCLAB was founded to demystify mathematics through the works of students and the computation group.
With broad experience in computation, experimental design, and data analysis across structured and unstructured data (text, audio, audio-visual streams), high-throughput genomic and proteomic studies (microarray, ChIP-seq, CGH, mass spectra), and proficiency in C, R, MATLAB, Python and Perl.
Research Interests
Transforming Data into Insight, Innovation & Global Impact.
A virtual & physical space to cultivate a collaborative, computation-driven ecosystem that transforms data into knowledge, innovation, and real-world solutions from Africa.
Founded within the Department of Mathematics, University of Nairobi, DASCLAB is a hub for the next generation of African data scientists and computational researchers.
Thinking · Teaching · Computing with Data
We train the next generation of data scientists, foster applied research that addresses Africa's unique challenges, and build collaborative networks with global institutions.
Strategic Goals
Six core objectives driving our excellence in the computational landscape.
Data Capacity
Handle complex datasets, build wrangling expertise, and enhance Africa-specific use-cases at scale.
Hands-On Training
Applied analytics on real-world imperfect datasets — we build, test, and deploy at scale.
Mentorship
Student consultancy, industry engagement, and fostering a culture of high professionalism.
Modeling & Simulation
Applying theory computationally to provide highly usable and predictive analytics.
Interdisciplinary
Technology-integrated problem solving with Robotics + IoT laboratory collaboration.
Multidisciplinary Impact
Cross-faculty problem solving that is adaptable, multi-faceted, and globally relevant.
Thematic Focus
Data Capacity
Computational biomarker discovery
Modelling & Simulation
Agri-data science for Africa
Mentorship
Medical imaging & detection AI
Hands-On Training
Language models for African languages
Interdisciplinary Innovation
Data analytics for enterprise
Multidisciplinary Teams
Autonomous systems research
Transforming Research
Into Reality
Empowering Africa-based talent, research, and partnerships to generate globally relevant solutions through data science and computational modelling.
Transforming local challenges into scalable technologies that contribute to international scholarship and sustainable development.
Ready to Collaborate?
Join our research ecosystem. We welcome partnerships, student applications, and collaborative projects.
dasclab@uonbi.ac.ke