I am interested in developing machine learning algorithms that can identify impending effects from precursors. In cyber security, the application of this work is in cyber threat intelligence (CTI) in a cooperative networking community. Other application of interest relates to public health sector in predicting individual and community events.  Also, interested in designing deep learning algorithms using generative paradigm that can't be reverse-engineered and can build on the learned data. The approach taken is by hiding the model architecture under layers of digital signature of the input data and meaningful combinations of the learned data, and then making only the model signature visible to the input during the deployment.