Matteo Aldeghi is a director of Machine Learning Research at Bayer and based in Boston. He obtained his PhD in Computational Biochemistry at the University of Oxford. Before joining Bayer in 2023, Matteo carried out research in computational chemistry and machine learning at the Max Planck Institute for Biophysical Chemistry, the Vector Institute, MIT, and Google.
Paula Marin Zapata is a research scientist at Bayer Pharmaceuticals in Berlin, where she leads a team focused on machine learning for cellular profiling applications. She is currently a board member of the Cytodata Society, which builds and maintains a community around morphological profiling. Paula obtained a PhD in biology from the German Cancer Research Center DKFZ, a MSc in Applied Mathematics from Eindhoven University of Technology, and a BSc in Biological Engineering from the National University of Colombia. She joined Bayer in 2017 as a postdoctoral fellow, where she developed deep learning models for image analysis in drug and herbicide discovery.
Marina Garcia de Lomana is a research scientist in the Machine Learning Research group at Bayer Pharmaceuticals in Berlin. She has a background in biotechnology, cheminformatics and computational toxicology. In 2021, she joined Bayer, where she focuses on the development of machine learning models for the prediction of toxicity and other ADME properties of small molecules, collaborating with the European’s Union Horizon 2020 ONTOX project.