I am an Astronomy Support Specialist at the Inter-University Institute for Data Intensive Astronomy (IDIA) and the University of Cape Town (UCT) Department of Astronomy. Alongside my professional role, I am currently pursuing my PhD at UCT, focusing on the intersection of radio astronomy, high-performance computing, and machine learning.
My journey began with a BSc (Cum Laude) from the University of Limpopo, followed by an Honours degree (First Class) from UCT, and an MSc in Physical Science (Magna Cum Laude) from the University of the Western Cape. Over the years, my deep fascination with radio astronomy has evolved into a career centered on solving the massive data-intensive challenges presented by next-generation instruments like MeerKAT and the Square Kilometre Array (SKA).
My research is dedicated to building automated, deep learning solutions and scalable infrastructure for complex data pipelines. You can view my full publication record and academic contributions on my ORCID Profile: 0000-0001-8431-1145.
My work focuses on three key pillars:
Source Classification: Developing machine learning techniques to classify star-forming galaxies and active galactic nuclei in deep radio continuum survey data. This research was recognized with the Best MSc Paper Award at the IDIA 10-Year Anniversary celebrations and an award at the 2026 Deep Learning Indaba in Rwanda.
RFI Mitigation: Developing advanced deep learning architectures (such as RFINet) for Radio Frequency Interference (RFI) subtraction and mitigation to protect highly sensitive telescope data from human-generated interference.
Automated Data Reduction Pipelines: Designing and optimizing end-to-end automated radio data reduction pipelines. By leveraging containerization technologies like Singularity and high-performance computing (HPC) cluster environments, this work streamlines the processing, calibration, and imaging of massive datasets to maximize scientific output from next-generation instruments.
At UCT, I coordinate the Data Science for Astronomy MSc course under the National Astrophysics and Space Science Programme (NASSP). I am passionate about innovative, research-led teaching that equips the next generation of African scientists with competitive skills in big data, cloud computing, and AI. Beyond UCT, I work to establish and strengthen collaborative networks across the continent to create a sustainable, interconnected African scientific community.
I firmly believe that science must be inclusive and reach beyond traditional academic spaces. Coming from Limpopo, I am deeply committed to driving STEM, astronomy, and AI awareness in historically disadvantaged and rural communities. I actively funnel my research outputs into practical educational workshops—collaborating with institutions like the University of Venda and organizing localized Astronomy & AI workshops at secondary schools to inspire learners from underrepresented backgrounds to step into the future of data science.
"In my journey, I strive to master not only the beautiful science of the universe, but also the art of human connection across diverse cultures and backgrounds. It is through this blend of diverse perspective and cutting-edge technology that we can truly impact the world."