Over the summer I was "hosted" by the International Thermonuclear Experimental Reactor (ITER). It is a joint project by many countries that is aiming to produce the first nuclear fusion reactor that can sustain itself and produce net energy during its future experimental pulses. My project was to design an algorithm / model that would be able to intelligently detect and diagnose anomalies. The idea was that the software I built would be applicable once functional to help operator determine significant scientific events or diagnose potentially damaging occurrences. Over the last three months I am happy to say that I built the initial model. Using machine learning and a set of test data I was able to create the baseline model that will be used and further adapted.