Enveda Biosciences
Daniel Domingo-Fernández is an accomplished data science professional with extensive experience in biomedicine and computational biology. Currently serving as the Director of Data Science at Enveda Biosciences, Daniel oversees a diverse team of data scientists engaged in innovative research on mass spectrometry and biomedicine. Previous roles at Enveda include Senior Manager and Senior Data Scientist II, where Daniel was instrumental in developing machine learning models and the company's Knowledge Graph. Daniel's academic background includes a PhD in Biomathematics, Bioinformatics, and Computational Biology from the University of Bonn, alongside significant experience in research and teaching, including roles as a lecturer and research fellow, focusing on neurological disorders and data analysis.
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Enveda Biosciences
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At Enveda Biosciences, they are systematically translating molecules found in medicinal plants into new drugs for challenging diseases. Their platform harnesses nature's complexity with the help of cutting-edge advancements in knowledge graphs, machine learning, and metabolomics.