Valentina Popescu
About Valentina Popescu
Valentina Popescu is a Data Scientist currently employed at Cerebras Systems since 2020, with prior experience at Intel Corporation from 2018 to 2020. She holds a PhD in Computer Arithmetic from Ecole normale supérieure de Lyon, which she completed between 2014 and 2017.
Work at Cerebras Systems
Valentina Popescu has been employed at Cerebras Systems as a Data Scientist since 2020. In this role, she contributes to the development and implementation of data-driven solutions within the company. Cerebras Systems is known for its innovative hardware designed for artificial intelligence and machine learning applications. Valentina's work focuses on leveraging data to enhance the performance and capabilities of these systems in the Greater San Diego Area.
Previous Experience at Intel Corporation
Before joining Cerebras Systems, Valentina Popescu worked at Intel Corporation as a Data Scientist from 2018 to 2020. During her tenure at Intel, she was involved in various projects that utilized data analytics to improve product performance and operational efficiency. Her experience at Intel provided her with a strong foundation in data science and analytics, further enhancing her expertise in the field within the Greater San Diego Area.
Education and Expertise
Valentina Popescu earned her PhD in Computer Arithmetic from Ecole normale supérieure de Lyon, where she studied from 2014 to 2017. This advanced education equipped her with a deep understanding of computational methods and data analysis techniques. Her academic background supports her professional work as a Data Scientist, allowing her to apply theoretical knowledge to practical applications in the tech industry.
Background
Valentina Popescu has a strong background in data science, with experience in both corporate and academic settings. Her career began with a focus on data analytics and computational methods, which she further developed during her time at Intel Corporation and currently at Cerebras Systems. Her education and professional experiences have shaped her capabilities in handling complex data challenges.