RJ Nieto

Hi, I’m Rey Joseph “RJ” Nieto.

I am a first-class mathematics graduate of the University of Bristol, a part-time Saturday instructor at Bulacan State University, and a columnist for the Manila Bulletin. I am pursuing an MSc in Science, Technology, Engineering and Public Policy at University College London (UCL) through flexible distance learning. My quantitative work includes statistical analysis, machine learning, computer vision, and topological data analysis.

My early career developed from technical writing into journalism, national broadcasting, public affairs, government communications, and programme delivery. After nearly a decade in political media, I returned to mathematics; the UCL MSc now brings those strands together through science and technology policy.

I teach Mathematics in the Modern World and Living in the IT Era at Bulacan State University. My teaching materials include original lecture notes, exercises, and supplementary resources developed primarily for biology students.

My current independent research continues my University of Bristol dissertation, Computational Stability of Cubical Homology, which received a mark of 90%. The public thesis and Python implementation document a reproducible, parallelised pipeline tested on 400 retinal images across ten perturbation protocols and 170 settings. The experiments examined whether contrasting topological and geometric response profiles could help distinguish spatial misalignment from radiometric corruption, as a possible basis for fault isolation in human-led diagnostic workflows.

I write Calculated, a weekly Saturday column for the Manila Bulletin. The newspaper’s author archive provides links to the published essays.

Earlier in my career, I hosted national current-affairs programmes and co-led a nationwide COVID-19 initiative that delivered more than PHP 25 million in personal protective equipment to over 100 hospitals. Further details are available in my CV and on LinkedIn.