Philippe Schwaller  Philippe Schwaller photo       

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Zurich Research Laboratory, Zurich, Switzerland
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I received my Bachelor’s and Master’s degrees from EPFL (École Polytechnique Fédérale de Lausanne, Switzerland) and I spent the last year of my Bachelor’s studies as an ERASMUS student at the University of Manchester. During my Master’s research, I had the opportunity to be a member of Prof. Nicola Marzari’s laboratory. There, I started the extraction of layered materials from inorganic crystalline compounds databases and calculated the binding energy of the layers, as well as the elastic constants of the parent crystals, with density functional theory. I was awarded the “Best Academic Master Thesis 2016” prize in Materials Science & Engineering at EPFL. After graduating in October 2016, I completed the last months of my civil service in the Functional Polymers laboratory at EMPA.

Since March 2017, I have been working for the IBM Research – Zurich Laboratory in the Cognitive Computing& Industry Solutions department, where I use deep-learning methods to tackle challenges mainly in chemistry. Our most recent work is on the prediction of organic chemical reactions using neural sequence-to-sequence models at the “Machine Learning for Molecules and Materials” workshop, NIPS 2017.

My research focus is on learning from existing knowledge and applying AI technologies to accelerate the discovery and synthesis of novel materials and molecules.