The Department of Process 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 am a fun-loving person, but I enjoy music more than a lot of things in life. My hobbies reflect that: guitar playing and songwriting.
Before living in Stellenbosch, I grew up and went to school in Gaborone, Botswana. Attending an international school exposed me to many people from different places and backgrounds, which I feel has made me very welcoming and friendly.
I have a love-hate relationship with coffee. I like to laugh and like to think I have a sharp sense of humour, but my jokes are mostly lame. I also have a lowkey obsession with anything Korean. Shame.
I am an outgoing person always willing to be of help and create a welcoming atmosphere around me. I like to smile and find the bright side to every situation I find myself in. Call me an optimist!
I have been at the faculty since 2016 now and it has become a special place to me. I hope through my effort and dedication as an engineer I can make 2022 an extra fun year to be a postgraduate. Also, I like woodworking, camping, and most socials interactions in general.
I am from East London, in the Eastern Cape. I enjoy console and tabletop games and a bit of music. I play the guitar, bagpipes and trumpet, although I haven’t actually touched a
trumpet in years…
I grew up on a dairy farm near George. I completed my BEng in Chemical Engineering at SU. During my final year project, I developed a deep interest in bioprocessing, especially anaerobic digestion. As a hobby, I enjoy playing the clarinet. I see myself as a person with a high standard of work ethics, who values honesty and pays attention to detail.
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.