Collaborative intelligence
Federated & Privacy-Preserving AI
Federated learning, collaborative machine learning, decentralized AI, and privacy-preserving computation—connecting healthcare, distributed intelligence, and edge computing.
Research · Education · Engineering · Books
Computer Scientist · AI Educator · Researcher · Software Architect · Author
20+ years connecting artificial intelligence, software engineering, enterprise architecture, distributed systems, and data science. I build intelligent, decentralized, privacy-preserving systems and prepare the next generation of computing professionals.
Computer science in service of people, institutions, and resilient systems.
My work connects research, teaching, and engineering to turn complex technical ideas into useful, trustworthy systems.
I am a computer scientist, AI educator, applied researcher, software architect, author, and doctoral mentor. Across more than 20 years in software and IT, I have worked at the intersection of intelligent systems, enterprise platforms, healthcare information, and accessible computing education.
Doctor of Computer Science (DCS) — Colorado Technical University. My doctoral research used Design Science Research to investigate technology-supported interfacility patient handoff and transitional care.
As Founder / Executive Director of the Global Data Science Institute, I support open education, technical publishing, and applied research.
My research connects collaborative intelligence, distributed infrastructure, and the people and communities these systems serve.
Collaborative intelligence
Federated learning, collaborative machine learning, decentralized AI, and privacy-preserving computation—connecting healthcare, distributed intelligence, and edge computing.
Trust & infrastructure
Distributed systems, blockchain, local-first computing, resilient knowledge systems, autonomous nodes, and edge intelligence under intermittent connectivity.
People & intelligent systems
Generative AI, AI security, responsible AI governance, human-AI interaction, and technology adoption in organizations and education.
Applied research
Healthcare information systems, low-resource AI, indigenous-language intelligence, public-health analytics, and access to useful computing tools.
Research methods
Design Science Research, software architecture, engineering methods, and the design and evaluation of artifacts that address real-world problems.
Textbooks connecting computing theory with applied practice. Read the open editions online, explore their sources, and adapt licensed material for teaching and learning.
2026 · Second Edition
Concepts, Complexity, and Applied Projects
Connect algorithm design and complexity with practical implementation. Work through advanced data structures, optimization, reproducible experiments, and applied computational projects.
Print ISBN: 979-8-1827-2111-0
CC BY 4.0
2026 · First Open Edition
Designing, Building, and Deploying Modern Artificial Intelligence
Connect AI theory with implementation, deployment, and engineering practice. Explore foundational algorithms, modern learning systems, MLOps, and responsible AI throughout the system lifecycle.
Print ISBN: 979-8-2408-8991-2
CC BY 4.0
2026 · First Open Edition
Architectures, Training, Generative Models, and Real-World AI Systems
Build an understanding of neural architectures and training methods. Connect generative models, evaluation, and deployment to the demands of real-world AI systems.
CC BY 4.0
2026 · 2026 Edition
Methods, Patterns, and Implementation
Follow software from requirements and architecture through testing, delivery, operations, and evolution. Project-driven exercises connect technical foundations with professional engineering workflows.
Print ISBN: 979-8-2957-6070-9
Ebook ISBN: 979-8-2957-6071-6
CC BY 4.0
2026 · Volume I
The Complete Software Engineering Lifecycle — Volume I
A standalone volume derived from the larger software engineering work. Develop requirements, system models, architecture, user experience, Agile practice, version control, and software quality.
Print ISBN: 979-8-2408-9097-0
CC BY 4.0
2026 · Volume II
The Complete Software Engineering Lifecycle — Volume II
A standalone companion volume focused on running and evolving software. Explore CI/CD, data integration, cloud systems, security, maintenance, and professional practice.
Print ISBN: 979-8-2408-9370-4
CC BY 4.0
Draft begun 2025 · In Development
Build Intelligent Applications Using Prompt Engineering, RAG, and Multimodal Tools
An evolving, application-focused introduction to large language models. The draft develops prompt engineering and foundations toward retrieval-augmented generation, multimodal applications, and responsible deployment.
CC BY 4.0
Research concepts and applied platforms spanning language, healthcare, distributed intelligence, and education.
Research / Active Development
An active research concept exploring federated learning, decentralized coordination, contribution measurement, distributed trust, privacy-preserving computation, and blockchain / consensus systems.
Research / Distributed Systems
Research into resilient, distributed knowledge infrastructure: local-first knowledge, autonomous nodes, synchronization, decentralized AI, and edge intelligence that can operate through intermittent connectivity.
Applied AI / Linguistic Inclusion
A low-resource, dialect-aware African language AI initiative for Luhya languages and dialects. It explores English ↔ Luhya and Swahili ↔ Luhya translation, dictionaries, proverbs, cultural knowledge, indigenous-language datasets, retrieval and semantic search, with human linguistic review.
Healthcare / Applied Engineering
A lightweight healthcare information platform designed with resource-constrained environments and medical missions in mind. Its engineering themes include patient workflows, electronic health records, disease surveillance, resilient health data infrastructure, and public-health analytics.
Community Technology / Applied Engineering
A digital platform exploring community finance and transparent group contribution workflows. Themes include event and bereavement support, financial accountability, digital payments, and non-custodial architecture.
Education / Open Source
Open computing textbooks and reproducible publishing workflows that connect AI education, software engineering, and accessible technical learning. Explore the OER source
Applied, project-driven, research-informed teaching connects theoretical concepts to production systems and real-world problems.
Current academic roles · September 2026
Course Director — Artificial Intelligence
Instructor of Record — MSAI / MSDS · Graduate-level AI and data science courses.
Adjunct Professor
Doctoral Mentor
Artificial Intelligence · Deep Learning · Generative AI and Large Language Models · Natural Language Processing · Human-AI Interaction · AI Security · Big Data Analytics · Advanced Algorithms · Software Engineering · Advanced Databases · Cybersecurity · Blockchain · Cloud Computing · Data Science · Research Methods
I guide doctoral learners through research development, project-plan development, methodology, committee review, IRB preparation, implementation, and capstone completion.
These are areas of graduate and doctoral research supervision, including studies led by learners I mentor.
Generative AI adoption, technology acceptance, Human-AI Interaction, and responsible AI.
Generative AI in clinical and administrative workflows; machine learning and deep learning for disease surveillance.
AI coding assistants, engineering workflows, and their effects on development teams.
Cybersecurity and AI adoption, AI security, and post-quantum cryptography in legacy environments.
20+ years in software and IT—from programming and architecture to technical leadership, software development management, principal engineering, education, and research.
T-Mobile
T-Mobile · 2021–2023. Enterprise architecture, software engineering, DevOps, platform engineering, distributed infrastructure, automation, cloud systems, and engineering leadership.
Accenture2013–2016, 2019–2021
Architecture, technology leadership, and consulting across enterprise systems, including healthcare and insurance. Systems alignment, compliance, and cross-functional delivery.
Enterprise platform engineering, secure systems, data modeling, and analytics integration, working across operations and data governance.
Deloitte
Earlier consulting experience at Deloitte contributed to a career spanning enterprise delivery, software engineering, and technical leadership.
Selected scholarly work across healthcare infrastructure, distributed data, and applied analytics. Books are listed separately above.
Moody Amakobe, E. Kansiime, and D. Uwayo · Academia Letters · 2021
Moody Amakobe · Doctoral dissertation · Colorado Technical University · 2017. This healthcare systems work informs my continuing interest in health-information infrastructure.
Moody Amakobe and J. O. Webb Jr. · 2016 · Research survey available on Academia.edu.
Moody Amakobe · 2015 · Research paper.
Founder / Executive Director
GDSI supports open educational resources, AI and data science education, applied research, accessible computing education, technical publishing, and emerging technology initiatives. Several of my textbooks are published through the Global Data Science Institute.
Whether you're interested in research collaboration, teaching, doctoral mentorship, speaking, or OER publishing, I'd love to connect with you.
I typically respond to inquiries within 24-48 hours during business days. For urgent matters, please mention it in your message.