Dr Edward O. Pyzer-Knapp undertook his graduate work at the University of Cambridge in the use of crystal structure prediction to guide materials design. From there, he moved to Harvard to work for Alan Aspuru-Guzik, leading the Harvard Clean Energy Project, using distributed computing to screen millions of candidates, searching for high performance organic photovoltaic materials. Here he worked on bringing techniques from machine learning and information theory to chemistry in order to accelerate and enrich the search for new materials. Edward then found his way to IBM Research UK, where he leads the large-scale machine learning research effort with a specific interest in bringing cutting edge techniques from machine learning and data science to the physical and life sciences.
Edward has published his work in high-impact journals such as the Journal of the American Chemical Society, Chemical Science, and Advanced Functional Materials and has been an invited speaker at multiple international conferences. He is also the author of two book chapters - 'What is High-Throughput Virtual Screening: A Perspective from Organic Materials Discovery' (Annual Reviews series) and 'Cognitive Chemistry? The Marriage of Machine Learning and Chemistry to Accelerate Materials Discovery' (Materials Informatics, Wiley, to be published in 2017).