Artificial Intelligence (AI) is reshaping the Life Science sector today more than ever. The recent advances in machine learning, and the ever-increasing availability of data in the public sphere are significant factors. Among other applications, AI can assist chemists in predicting the metabolism and degradation of chemicals in the environment, or in planning the efficient synthesis of saferand more sustainable organic chemicals.

Dr. Yannick Djoumbou Feunang earned his PhD in Microbiology and Biotechnology at the University of Alberta -Canada, in 2017. Since 2018, Dr. Djoumbou Feunang has worked as a Research Investigator for the Chemistry Data Science research group at Corteva Agriscience in Indianapolis, Indiana. His responsibilities include among others: (1) the development of machine learning models to support lead generation and optimization projects, and; (2) the enhancement of Corteva’s Cheminformatics scientific computing platform. He also currently leads a project aiming at building a cutting-edge, adapted in silico metabolism platform a Corteva Agriscience.

To learn more about the Big Data Summit, visit: https://researchpark.illinois.edu/events/big-data/

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