The Department of Chemical Engineering boasts a thriving postgraduate research environment with approximately 130 registered postgraduate candidates, including researchers from across Africa and the globe. Our department is also proud of an active Postgraduate Student Council (PGSC), which leads and serves the postgraduate cohort with academic and social support, as well as community engagement. Meet them below!
I’m a faculty member since 2016 – self-proclaimed departmental dynamics aficionado. I have the dirtiest labcoat in the department, since I do not see the point in cleaning it. I also frequently match my scrunchies to my outfit, and on a good day, my socks match my scrunchie too.
As a compassionate individual, I derive pleasure from assisting others. My hobbies include indulging in music and practicing the art of crocheting. I enjoy reading African literature. I also laugh a lot; it makes life easier.
I am an introvert by nature who loves social outreach programs. I grew up in a farming community and am therefore an animal lover. I enjoy the winter; I think it makes you appreciate summer the same is applicable in life.
I like to spend my free time playing first-person shooter games, listening to hip-hop, or watching anime. I may display good comedic skills sometimes and I believe that ‘‘you should always do all that you can do and leave the rest to nature and God (s)’’.
Growing up in Khayelitsha has taught me to make the most of what I have. I mean, we would make cars out of bricks, milk cartons, bucket lids and many other things. Even today, I still subscribe to that viewpoint.
A passionate, God–fearing , mineral processing junkie with the eagerness to learn and engage with individuals from different backgrounds.
Alternative and soul R&B music lover. I play the alto saxophone and enjoy singing too. I have a special talent for falling asleep within a minute and 30 seconds, which is what got me through my engineering studies – quality naps!
Family, football, chemical engineering – in that order.
Separations Technology, Machine Learning
Machine learning methods for pseudo-thermodynamic data generation
Supervisor(s) / Promotor(s)
Dr Jamie Cripwell
My research topic for my Master’s is machine learning methods applied to thermodynamic property data generation, a bridge between machine learning and chemical engineering.
I intend to work in the intersection between these two fields, which would aid optimisation and research in the chemical engineering industry. My path towards that begins now, with my Master’s topic. It will continue after that with a job as a data engineer in consulting, allowing me to gain the skills necessary to allow a transition to the use of machine learning methods in the industry.