Short Bio

Work Experience

• Junior Lecturer – Department of Chemical Engineering, Stellenbosch University (2024 – Present)

Education

• PhD (Chemical Engineering) Candidate – Stellenbosch University (2020 – Present) 
  Research: Multi-Output Gaussian Process Regression for Spatial and Temporal Prediction of Chemical Pollutants in River/Stream Networks.
• MEng (Extractive Metallurgical Engineering, Research) – Stellenbosch University (2018 – 2020) 
  Research: Bayesian Parameter Estimation for Process Monitoring.
• BEng (Chemical Engineering) – Stellenbosch University (2014 – 2017)

Honours & Awards

• Chairman’s Award: Noteworthy Contribution by a Final-Year Student (2017)
• Element Six/DST/NRF Medal: Best Performance in Material Science (2017)
• Elton Thyse Prize: Best Student in Mineral Processing (2017)

Research Interests

Theoretical development and practical application of Statistics and Machine Learning-based approaches to Chemical and Environmental Engineering problems.

Current focus includes Bayesian statistical modelling to characterise micropollutants in river networks, as well as process modelling, monitoring, and control.

Selected Publications

Visit my Google Scholar Profile for a complete list of publications.

Teaching

• Particle Technology 316 (2024 – Present)
• Chemical Engineering 264 (2025 – Present)