Dr. Jo Grundy completed a BSc in Chemistry at Exeter University, a P.G.C.E. at Durham University, and then taught before doing an MSc and DPhil in Organometallic Chemistry at Sussex University. She then completed a postdoc with Prof. Mathey at UC Riverside before returning to teaching. In 2012, she started to study Programming and Machine Learning online before taking an MSc in AI at the University of Southampton and then staying on as a Teaching Fellow. Subsequently, Jo gained the position of Research Fellow, investigating the analysis of multivariate time series data for anomaly detection for use in the detection of early wear on surfaces in contact.
Dr. Jo Grundy completed a BSc in Chemistry at Exeter University, a P.G.C.E. at Durham University, and then taught before doing an MSc and DPhil in Organometallic Chemistry at Sussex University. She then completed a postdoc with Prof. Mathey at UC Riverside before returning to teaching. In 2012, she started to study Programming and Machine Learning online before taking an MSc in AI at the University of Southampton and then staying on as a Teaching Fellow. Subsequently, Jo gained the position of Research Fellow, investigating the analysis of multivariate time series data for anomaly detection for use in the detection of early wear on surfaces in contact.