Rosie Hood
About Rosie Hood
Rosie Hood is a Staff Data Scientist at EDITED, where she has worked since 2021. She has a diverse background in data science and physics, with previous roles at Columbia University and Imperial College London, and holds a PhD in Physics & Astronomy from UCL.
Current Role at EDITED
Rosie Hood serves as a Staff Data Scientist at EDITED, a position she has held since 2021. In this role, she focuses on leveraging data science techniques to enhance the company's analytical capabilities. Her responsibilities include developing machine learning models and utilizing artificial intelligence to drive insights from data. Hood's expertise in analytics contributes to the strategic decision-making processes within the organization.
Previous Experience in Data Science
Prior to her current role, Rosie Hood worked at EDITED as a Senior Data Scientist from 2018 to 2021. During this time, she honed her skills in data analysis and model development. Hood also completed an internship at Columbia University in the City of New York in 2013, where she contributed to dark matter detection research within the XENON group at Nevis Laboratories. Additionally, she gained experience through various internships at institutions such as the University of Sydney and Imperial College London.
Educational Background
Rosie Hood has an extensive educational background in physics and astronomy. She earned her Doctor of Philosophy (PhD) in Physics & Astronomy from UCL, where she studied from 2014 to 2018. Prior to that, she completed her MSc in Space Science and Technology at UCL from 2013 to 2014. Hood also holds a BSc (Hons) in Physics from Imperial College London, which she obtained from 2009 to 2012. Her academic training has provided her with a strong foundation in scientific research and analytical skills.
Founding of Women Employee Resource Group
Rosie Hood founded the EDITED Women Employee Resource Group (ERG), aimed at promoting diversity and inclusion within the workplace. This initiative focuses on supporting women in the organization and fostering an environment that encourages their professional development. The establishment of the ERG reflects Hood's commitment to enhancing workplace culture and advocating for gender equality in the tech industry.
Technical Skills and Interests
Rosie Hood has a strong interest in programming and data science technologies. She is proficient in Python and has experience in machine learning and artificial intelligence. Her analytical skills enable her to effectively interpret complex data sets and derive actionable insights. Hood's technical expertise supports her work in data-driven environments, making her a valuable asset in her field.