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Nambobi Mutwalibi

Data

Intelligence

& Impact.

Turning data into intelligent action. I combine research methods, data analysis and AI to help research teams, funders and organisations turn data into evidence they can act on, in health, agriculture, technology, business and education.

Research, data & AI consultant

Sectors
Health, agriculture, AI & education
Experience
University ICT staff since 2018

About

ME

I work where computing meets research: how data is measured, shared and modelled, and how technology is taught.

I’m Nambobi Mutwalibi, an ICT professional, researcher and former lecturer. My research covers Structural Equation Modeling (SEM), FAIR data, machine learning and human-centred AI, cybersecurity, IoT and cloud computing, and the adoption of ICT in teaching and learning. I also work with other researchers on their analysis, and I explain every step so the work stays theirs.

MSc.TE (2026) and BSc.TE (2017, First Class Honours) in Computer Science and Engineering (Islamic University of Technology) · MSc. Cyber Security in progress (Daffodil International University) · University ICT staff at the Islamic University in Uganda since 2018 · Lecturer at the Labour College of East Africa (2018-2023).

Start

Here

(working with me)

01

Research Help

For researchers and research teams: SEM, statistics, machine learning and FAIR data
The paper on IEEE Xplore: Human Engagement and Multimedia Content, ISADES 2026
IEEE Xplore, ISADES 2026
02

Industries

For funders, research teams and organisations across eleven industries, from healthcare, education and agriculture to the public sector, retail and technology
The FAIR data article in Data Intelligence, MIT Press
Data Intelligence (MIT Press): FAIR data and health information in Uganda

My

Skills

MSc in Cyber Security (Daffodil International University, in progress). University ICT Support Officer at the Islamic University in Uganda since 2018: systems audits, the availability, performance and security of university ICT systems, and system administration on Windows Server, Linux and Proxmox.

Artificial Intelligence, Machine Learning, LLMs, Human-Centred AI (HCAI), Affective Computing, Cloud Computing and IoT, together with FinTech and innovation strategy.

Structural Equation Modeling (SEM), statistics and machine learning in R, Python, SPSS and SmartPLS. Certified FAIR Data Steward (Level 3, VODAN Africa). Data Expert with VODAN Africa and Kampala International University (2020-2023), deploying FAIR Data Points and Linux servers in hospitals across Uganda. Research Assistant at the Motion Analysis Research Laboratory (2019).

Consultant under MILTA Uganda with IOM, ILO and the Ministry of Gender, Labour and Social Development (2020-2024): ICT support, EEMIS platform benchmarking and pre-departure curriculum development for migrant workers. Acting Head of Science and Technology, Labour College of East Africa (2018-2023).

My

Work

(selected)

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