Professor Aspuru-Guzik carries out research at the interfaces of quantum information and chemistry and machine learning and chemistry. He pioneered the development of algorithms and experimental implementations of quantum computers and dedicated quantum simulators for chemical systems. He has studied the role of quantum coherence in excitonic energy transfer in photosynthetic complexes. He has accelerated discovery by means of computation for organic semiconductors, organic photovoltaics, organic batteries and organic light-emitting diodes. He has worked on molecular representations and generative models for the machine learning of molecular properties. He is currently interested in automation and “self-driving” chemical laboratories. Amongst other recognitions, he has been recipient of the DARPA Young Faculty Award, the Sloan Research Fellowship, and was selected as a Top Innovator under 35 by the MIT Technology Review.