Dominique Sydow
About Dominique Sydow
Dominique Sydow is a Cheminformatics Research Scientist with a strong academic background in biophysics and cheminformatics. Currently employed at Exscientia in Cambridge, UK, Sydow has contributed to various research institutions and platforms throughout their career.
Work at Exscientia
Dominique Sydow serves as a Cheminformatics Research Scientist at Exscientia, a position held since 2022. The role is based in Cambridge, England, United Kingdom. At Exscientia, Dominique focuses on cheminformatics research, contributing to the development of innovative solutions in drug discovery.
Education and Expertise
Dominique Sydow has an extensive educational background in the life sciences. Dominique studied at Freie Universität Berlin, where they pursued a Doctoral candidacy in Structural Bio/Cheminformatics from 2018 to 2022. Prior to this, Dominique earned a Master's degree in Biophysics from Humboldt-Universität zu Berlin (2013-2015) and a Bachelor's degree in Molecular Life Science from Universität zu Lübeck (2008-2012). This academic foundation supports Dominique's expertise in cheminformatics and protein-ligand interactions.
Background in Research
Dominique has a diverse research background, having worked in various institutions. Prior to joining Exscientia, Dominique was a Research Scientist at Sosei Heptares for six months in 2022. They also held positions at Charité as a Research Assistant and Doctoral Candidate from 2018 to 2021, and at the Max Delbrück Center as a Research Assistant from 2017 to 2018. Additionally, Dominique completed an internship at Université de Strasbourg from 2014 to 2015.
Contributions to Open Source Cheminformatics
Dominique Sydow contributes to TeachOpenCADD, a platform dedicated to open source cheminformatics and structural bioinformatics. This involvement reflects Dominique's commitment to advancing the field through collaborative and accessible research initiatives.
Research Interests
Dominique has a keen interest in studying binding site similarity and protein-ligand interactions. This focus aligns with their work in cheminformatics, where understanding these interactions is crucial for drug design and discovery.