Zahi Karam
About Zahi Karam
Zahi Karam serves as the Vice President of Data Science at Bluecore, where he has worked since 2015, holding various positions including Principal Data Scientist and Director of Data Science. He has a strong academic background with degrees from Georgia Institute of Technology and Massachusetts Institute of Technology, and has held research and engineering roles at several prestigious institutions.
Work at Bluecore
Zahi Karam has been with Bluecore since 2015, initially serving as Principal Data Scientist. In 2020, he advanced to the role of Vice President of Data Science. His tenure at Bluecore spans over nine years, during which he has contributed significantly to the company's data science initiatives. Prior to his current position, he held the title of Director of Data Science from 2016 to 2020.
Education and Expertise
Zahi Karam earned his Bachelor of Science degree in Electrical Engineering from the Georgia Institute of Technology, where he studied from 1999 to 2003. He then pursued further education at the Massachusetts Institute of Technology, obtaining a Master of Science in Electrical Engineering from 2003 to 2005, followed by a PhD in the same field from 2005 to 2011. His academic background provides a strong foundation for his work in data science.
Background
Zahi Karam's early career includes various research and internship roles. He worked as an Undergraduate Research Assistant at the Georgia Institute of Technology from 2001 to 2003. He also served as a Graduate Research Assistant at MIT from 2003 to 2005. Following his PhD, he was a Postdoctoral Research Fellow at the University of Michigan from 2011 to 2014. Additionally, he held several internships, including positions at Nexidia and Visteon.
Professional Experience
Throughout his career, Zahi Karam has held multiple positions that have contributed to his expertise in data science. He interned at Nexidia in 2003 and 2006, and was a member of a team at Johns Hopkins University in 2008 focused on robust speaker recognition. His diverse experiences across different institutions have shaped his approach to data science and research.