Senior Research Scientist KMFRI Kisumu Freshwater Systems Research / Limnology Ecological Modeling • Fisheries Science • Data Science • AI for Ecosystems Email: sanychris@yahoo.com Email: cnyamweya@kmfri.go.ke Department Freshwater Systems Research / Limnology Specialization Ecological Modeling • Fisheries Acoustics • Fish Stock Assessment Professional Focus Ecosystem Modeling • Big Data • Machine Learning • AI • Citizen Science | Research Focus: Ecological modeling, fisheries science, ecosystem functioning, simulation models, big data analytics, and AI-driven decision support for aquatic ecosystem management. Dr. Chrispine Nyamweya is an experienced ecologist with a strong track record in ecological modeling, fisheries science, data science, and smart technologies. He serves as a Senior Research Scientist and Assistant Director at the Kenya Marine and Fisheries Research Institute (KMFRI), where he has built a 13-year research career focused on understanding and managing aquatic ecosystems. He specializes in simulation modeling of ecosystem functioning. He earned his Doctorate Degree in Ecological Modeling from the University of Iceland in 2017, where he developed two major models: ROMS for Lake Victoria circulation patterns and Atlantis, the first end-to-end ecosystem model for Lake Victoria, used to evaluate ecological and socio-economic fishing strategies. Chrispine is highly engaged in data-driven ecosystem science, leveraging big data, machine learning, artificial intelligence, and statistical programming (R, Python, MySQL) to support evidence-based decision-making in fisheries and aquatic resource management. Research Interests Ecosystem Functioning Ecological Modeling Fisheries Science Big Data Machine Learning Artificial Intelligence Fish Stock Dynamics Smart Aquatic Systems Key Activities - Development of ecological simulation models (ROMS, Atlantis)
- Fish stock assessment and fisheries modeling
- Ecosystem functioning analysis of Lake Victoria and other systems
- Big data analytics for aquatic ecosystems
- Machine learning and AI applications in fisheries science
- Citizen science and collaborative research networks
- Development of web-based ecological databases (kenyasdata.com)
- Supervision of research and international collaborations
Qualifications - PhD in Ecological Modeling – University of Iceland (2017)
- International Diplomas in Marine & Inland Waters Monitoring and Assessment
- Fisheries Acoustics Certification
- FishBase and Taxonomy Training
- Research Project Design Certification
- Strong proficiency in R, Python, and MySQL
Selected Publications Nyamweya et al. (2022) Spatiotemporal variation in fishing patterns and fishing pressure in Lake Victoria Aura et al. (2022) Citizen science and contamination monitoring in small water bodies Atlantis ecosystem modeling applications in Lake Victoria fisheries management |
