Junior Lecturer | Probabilistic Modelling, Machine Learning & Statistics

Short Bio

Work Experience

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

Education

PhD (Chemical Engineering) Candidate
Multi-Output Gaussian Process Regression for Spatial and Temporal Prediction of Chemical Pollutants in River/Stream Networks
Department of Chemical Engineering, Stellenbosch University
Supervisors: Prof. TM Louw and Dr. TR Smith
2020 – Present

MEng (Extractive Metallurgical Engineering, Research)
Bayesian Parameter Estimation for Process Monitoring
Department of Chemical Engineering, Stellenbosch University
Supervisors: Dr. JT Cripwell, Prof. L Auret, Prof. RLJ Coetzer, Prof. RS Kroon
2018 – 2020

BEng (Chemical Engineering)
Department of Chemical Engineering, Stellenbosch University
2014-2017

Honours and Awards

Chairman’s Award for Noteworthy Contribution by a Final-Year Student, Stellenbosch University, 2017
Element Six/DST/NRF Medal for Best Performance in Material Science by a Final-Year Student, Stellenbosch University, 2017
Elton Thyse Prize for Best Student in Mineral Processing, Stellenbosch University, 2017

Research Interests

My research interests include the theoretical development and practical application of Statistics and Machine Learning-based approaches to Chemical/Environmental Engineering problems. My current research focus is on the application of Bayesian statistical modelling to characterise micropollutants in river/stream networks. Other research interests include process modelling, monitoring, and control.

Selected Publications

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

Teaching

Particle Technology 316 (2024)