Thomas Vacek
About Thomas Vacek
Thomas Vacek is a Research Scientist at Thomson Reuters, where he has worked since 2012. He holds a PhD in Computer Science from the University of Minnesota and has expertise in statistical learning theory and optimization.
Work at Thomson Reuters
Thomas Vacek has been employed at Thomson Reuters as a Research Scientist since 2012. In this role, he focuses on tackling complex problems within his field. His work involves applying advanced methodologies and techniques to enhance the company's research capabilities.
Previous Experience at Kantorei
From 2010 to 2013, Thomas Vacek served as a Member of the Board of Directors at Kantorei. During his three-year tenure, he contributed to the organization’s governance and strategic direction, utilizing his expertise to support its mission.
Education and Expertise
Thomas Vacek earned his Doctor of Philosophy (PhD) in Computer Science from the University of Minnesota, where he studied from 2009 to 2015. His academic background also includes a Bachelor of Arts in Classical Languages from Saint John's University, completed between 2004 and 2006. He possesses expertise in statistical learning theory and optimization.
Research Projects and Contributions
Throughout his career, Thomas Vacek has worked on various research projects that include recommendation systems, image recognition using deep learning, sequence tagging, and survival analysis. These projects demonstrate his ability to apply complex theoretical concepts to practical applications in technology and data science.