Mona Ibrahim

Mona Ibrahim

Research Data Scientist @ Callsign

About Mona Ibrahim

Mona Ibrahim is a Research Data Scientist at Callsign in London, England, where she has worked since 2020. She holds a PhD in Engineering Science from the University of Franche-Comte and has completed two Master's degrees in Fundamental Mathematics and Applied Mathematics.

Work at Callsign

Mona Ibrahim has been employed at Callsign as a Research Data Scientist since 2020. In this role, she focuses on leveraging data science techniques to enhance research initiatives. Her work contributes to the development of innovative solutions within the organization, based in London, England. Over her four years at Callsign, she has engaged in various projects that utilize her expertise in data analysis and research methodologies.

Education and Expertise

Mona Ibrahim holds a PhD in Engineering Science from the University of Franche-Comte. She also earned two Master's degrees: one in Fundamental Mathematics from Lebanese University and another in Applied Mathematics from Paris Dauphine University. This educational background provides her with a strong foundation in both theoretical and practical aspects of mathematics and engineering, which she applies in her research data science work.

Background

Prior to her current position at Callsign, Mona Ibrahim worked as a Postdoctoral Researcher at the University of Surrey from 2016 to 2019. During her three years there, she conducted advanced research in her field, further developing her skills in data analysis and scientific inquiry. Her academic and professional experiences have shaped her approach to research and data science.

Professional Experience

Mona Ibrahim's professional journey includes significant experience in academic research. At the University of Surrey, she contributed to various research projects as a Postdoc, focusing on methodologies that integrate data science with engineering principles. This role allowed her to refine her analytical skills and apply her mathematical knowledge to real-world problems.

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