Research professional with a strong foundation in mathematical modeling, data analysis, and innovation systems research. Experienced in both qualitative and quantitative methods, with a focus on producing measurable, policy-relevant outcomes. Skilled in interdisciplinary collaboration and highly adaptable to dynamic project environments. Proven ability to design analytical tools and dashboards that support evidence-based decision-making in health, biotechnology, and sustainable development contexts.
Prof. Shirley Abelman
School of Computer Science and Applied Mathematics,
University of the Witwatersrand, Johannesburg, Private Bag 3, Wits 2050, South Africa
Email: Shirley.Abelman@wits.ac.za
Prof. Philip Ngare
Department of Mathematics,
University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya
Email: pngare@uonbi.ac.ke
Prof. Babacar Mbaye Ndiaye
Laboratory of Mathematics of Decision and Numerical Analysis,
Cheikh Anta Diop University, Dakar, Senegal
Email: babacarm.ndiaye@ucad.edu.sn
Dr.Julius Ecuru
International Centre of Insect Physiology and Ecology,
P.O. Box 30772-00100, Nairobi, Kenya
Email: jecuru@icipe.org
Dr. Daisy Salifu
International Centre of Insect Physiology and Ecology,
P.O. Box 30772-00100, Nairobi, Kenya
Email: dsalifu@icipe.org
Dr. Jeremy Herren
International Centre of Insect Physiology and Ecology,
P.O. Box 30772-00100, Nairobi, Kenya
Email: jherren@icipe.org
2023 Best Presentation at the ICMS and MAC-MIGS Modelling Camp 2023 in Edinburgh, UK.,
2021 PhD. Scholarship, DRIP, International Centre of Insect Physiology and Ecology (icipe).,
2017 MSc. Scholarship, African Union Commission.,
2009 BSc. Scholarship, Moroccan Agency of International Cooperation (AMCI).
Conferences
President, icipe Scholars Association
International Centre of Insect Physiology and Ecology (icipe), Nairobi
2023 – 2024
Vice Chair – Music Ministry, PCEA St. Andrew’s Parish, Nairobi
2022 – Present
Guitar, Piano, Violin,
Jogging, Martial Art,
Meditation.
Stochastic analysis, asymptotic methods, and optimal control in population and disease modeling
Innovation system dynamics, agent-based modeling, and complex systems
Mathematical modeling of biological and ecological systems under uncertainty
Integration of advanced mathematical tools (eg, Malliavin calculus, HJB equations) in real-world interventions
Interdisciplinary teaching and supervision at the interface of mathematics, health, and policy
Development of analytical tools and indices for evaluating innovation systems
Strategic modeling for One Health interventions and cross-sectoral collaboratio
Bridging theoretical mathematics with policy analytics through data visualization and AI-driven platforms
Innovation governance, knowledge translation, and R&D impact evaluation