Data Science @ Uni Vienna: Learning from chemical data - opportunities and challenges

When: 3.5.2019, 12:30-13:30 (Bring your own lunch)

Where: Geschichte Seminarraum 1, Universitätsring 1, 1010 Wien

Nuno Maulide, Philipp Marquetand, Boris Maryasin - Faculty of Chemistry

Chemists are not only producers of chemicals but also of large amounts of data. In this talk, we will give some examples of the different types of information available and how they are already put to use with machine learning. Applications include the prediction of reaction yields [1] or computer simulations of molecules [2]. However, the bigger part of chemical data is probably left unused in such approaches and the opportunities and challenges for its utilization shall be discussed.

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DSUniVie Talks: “What is Data Science @ Uni Vienna?”: https://datascience.univie.ac.at/dsunivie-talks/