Stavroula (Laura) Skylaki
About Stavroula (Laura) Skylaki
Stavroula (Laura) Skylaki is a Manager of Data Science at Thomson Reuters with a strong background in Electrical Engineering, Computer Science, and Informatics. She has over a decade of experience in AI applications and a focus on ethical AI and human-centric design.
Work at Thomson Reuters
Stavroula Skylaki currently serves as the Manager of Data Science at Thomson Reuters, a position she has held since 2021 in Zug, Switzerland. Prior to this role, she worked as a Senior Data Scientist for nine months in 2020. Her tenure at Thomson Reuters also includes two years as a Data Scientist from 2018 to 2020. In her roles, she has contributed to the development of AI applications and has focused on translating complex data insights into actionable strategies.
Education and Expertise
Stavroula Skylaki holds a Bachelor of Science (BSc) in Electrical Engineering and Computer Science from the National Technical University of Athens. She furthered her education at The University of Edinburgh, where she earned a Master's degree in Informatics from 2006 to 2007. Additionally, she completed her Doctor of Philosophy (PhD) in Stem Cell Bioinformatics at The University of Edinburgh from 2008 to 2012. Her academic background supports her expertise in AI applications, particularly in bioinformatics and data science.
Background
Stavroula Skylaki has over a decade of experience in the field of data science and artificial intelligence. She has worked in various capacities, including postdoctoral positions at ETH Zurich and HelmholtzZentrum München, focusing on bioimaging informatics and bioinformatics. Her career has spanned multiple countries, including Greece, the United Kingdom, and Switzerland, allowing her to gain diverse experiences in research and industry settings.
Achievements
Throughout her career, Stavroula Skylaki has developed a strong skill set in translating complex technical concepts into understandable terms for non-technical audiences. She is recognized for her effective data communication and her ability to work collaboratively in multi-disciplinary teams. Her passion for ethical AI and AI-driven transformation emphasizes her commitment to human-centric design in technology.