My name is Frederic Isingizwe, I am a research scientist and science communicator, most specifically within the area of modern computational methods to enable carrying out data-driven research efficiently. I have a special interest in the application of data science methods and artificial intelligence in any way that helps improve the quality and sustainability of life in the world.
My higher education span Physics, Mathematical Sciences and Electronic Engineering (MScEng and PhD). While a graduate candidate, I was involved in research on superconductor devices, applied spectroscopy and bio-systems modelling, managing a postgraduate research laboratory for biological sensors and nano-devices development. Upon completion, I assumed a role for technical advisory and research support for postgraduate students in sensors development and applications research projects.
Since then, I was a postdoctoral research fellow under the South African research chair in postharvest technology at Stellenbosch University. While there, I applied machine learning methods on spatial and multi-wavelength spectral data to advance non-destructive techniques for quality testing and control in postharvest production environments.
I have now joined the eResearch Office at UWC as an eResearch Scientist, and my comprehensive role is to help bring its mission to a success.
Some of my work: Google Scholar | Science Communication | Github