Gciniwe is a Research Staff Member within the Data Driven Healthcare team at IBM Research-Africa in Johannesburg, South Africa. She is currently working on developing robust machine learning and statistical models to analyse and derive insights from real healthcare data. In conjunction with machine learning algorithms, she is using natural language processing tools to analyse medical reports in text format and digital signal processing techniques to analyse acoustic signals.
Before joining IBM, Gciniwe was a full-time MSc student at the University of Cape Town where she was majoring in Statistical Sciences (with a focus in analytics). She is currently completing her MSc and the focus of her dissertation is on the use of acoustic recordings to identify individual animals of the same species. Gciniwe also holds a BCom Honours degree in Statistical Sciences and BCom degree in Actuarial Science - a field that deals with the application of Mathematical and Statistical methods to assess risk in insurance and other financial fields. She obtained both BCom degrees from the University of Cape Town, with the latter awarded with an additional major in Mathematics.