Michael Langford, who is graduating this spring with degrees in both computational engineering and music, is working on an honors thesis to study machine learning methods for music composition. The idea for the thesis was sparked in part by the “fireworks” he experiences while listening to music due to his associative chromesthesia — a form of synesthesia that invokes an involuntary experience of color — along with his interest in how computers can interpret data to predict future scenarios. We sat down with him to learn more about his thesis, its potential applications for the future and how he plans to develop his concept.
