Welcome to the official website of Walter Silima.

I am Walter Silima, an Astronomy Support Specialist at the University of Cape Town (UCT) and the Inter-University Institute for Data Intensive Astronomy (IDIA). My work sits at the intersection of astronomy, high-performance computing (HPC), data science, and machine learning, where I help researchers tackle some of the most demanding computational challenges in modern astronomy.

I am passionate about developing and applying advanced machine learning techniques to accelerate scientific discovery. My research interests include astronomical source classification, photometric redshift estimation, radio frequency interference (RFI) mitigation, and scalable data-processing pipelines for next-generation radio telescopes such as the Square Kilometre Array (SKA). More recently, I have been exploring physics-informed machine learning and transformer-based approaches to improve the quality and efficiency of astronomical data analysis.

Beyond research, I support scientists in effectively utilizing HPC resources and modern data science tools to process and analyze large-scale astronomical datasets. I am also a lecturer for the MSc Data Science for Astronomy course through the National Astrophysics and Space Science Programme (NASSP-UCT), where I help train the next generation of astronomers and data scientists in reproducible research, scientific computing, and machine learning.

Whether you are interested in astronomy, data-intensive science, machine learning, or HPC, I invite you to explore my work, projects, publications, and teaching activities. Together, we can push the boundaries of data-driven discovery and unlock new insights into our Universe.

One of my Favorite  Astronomical Picture