My research interests lie in the field of Big Data advanced modelling and its application on Digital Manufacturing and services. The research uses an interdisciplinary approach of data science techniques to address a range of real organisations’ problems. In particular, my research develops novel data science methods using techniques such as neural network, support vector machine, decision trees, Bayesian networks, genetic algorithm and natural language processing to detect financial frauds, measure customer experience, develop customer loyalty predictive model, analyse machine and sensor data to classify product failures in manufacturing. I commenced my PhD in Data Science at the University of Manchester and my thesis investigated the impact of employing different machine learning algorithms to detect frauds in the stock exchange markets. I am currently leading the Big Data and analytics for service and digital manufacturing research at the Institute for Manufacturing, Department of Engineering, University of Cambridge. Also, I am a research manager and co-investigator in many UK research councils projects (EPSRC/ESRC) and industrial research projects sponsored by big organisations such as IBM, Cisco, BAE Systems, Caterpillar, Rolls Royce, Zoetis, Pearson, GEA Food Manufacturer. I am a core academic member in the Cambridge ESRC Doctoral Training Partnership (DTP) and the EPSRC research network- Consumer Goods, Big Data, and Redistributed Manufacturing (RECODE). Also, I am a recipient of an international award from the Marketing Science Institute on customer experience analytics. I am a steering committee member at the University of Cambridge Big Data Research Initiative. I am creative and innovative with a substantial experience in designing, leading, and implementing a broad range of Big Data research projects. Highly motivated and an excellent communicator, with knowledge and skills for making successful and often highly prestigious research and industrial funding bids (£1,042,260), as my CV indicates. I have a number of publications in highly ranked journals, including PloS ONE, Journal of Service Research, International Journal of Operations and Production Management, Journal of Service Marketing as well as many IEEE conference articles.