Software Engineer, Data Analyst, Researcher and Lecturer
Qualifications Summary
- Over twenty years of experience providing technical leadership for the rollout of management information systems and providing technical assistance and advice to governments on the implementation of digital systems and policies.
- Expertise in several enterprise architecture designs, requirement elicitation and management, technical designs, programming languages, system interoperability, development frameworks, and software development approaches and models, including agile development, continuous delivery, and cloud technologies, among others.
- Experience in planning and managing data collection surveys, including the coding of data collection tools and high-frequency checks. Additionally, proficient in utilizing statistical software to analyse and interpret survey data, ensuring accurate and reliable results.
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Contribution to Science
I developed the Astro-WISE (www.astro-wise.org) dependency-based data model that supports scientific use-cases for the detecting and analysing Quasi-stellar objects. Quasi-stellar objects (QSOs or quasars) are the active cores of distant galaxies and belong to the most distant objects that can be detected. Galaxies with a massive black hole in their center can have phases of extreme activity in their nuclei due to accretion of mass. Quasars can be brighter than the galaxy that hosts them and can be detected beyond a redshift of 7. Detecting quasars at high redshift probes the Universe at an early age. Quasars can be used to study reionization cosmological structure growth and the formation of super massive black holes. Finding more high redshift quasars is therefore important to understand the early Universe and how it evolves.
