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Jan Gröls

Jan graduated from the laboratory of fluid separations, TU Dortmund, with an MSc in Chemical Engineering. During his master studies, he spent time at the HKUST to deepen his knowledge in chemical product design and fluid mechanics. He completed his masters’ thesis in collaboration with BASF SE where he worked on a novel approach to evaluate thermodynamical property parameters through batch distillation and dynamic simulations. In his PhD, he is working together with Dr Castro-Dominguez to develop a machine learning assisted approach for new pharmaceutical drugs. Next to his PhD he likes to read, meet friends and do sports.

  • Machine learning for the prediction of novel pharmaceutical cocrystals under mechanochemical synthesis with Dr Bernardo Castro-Dominguez and Professor Chris Chuck


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