Laura M. Zaharia
About Laura M. Zaharia
Laura M. Zaharia is an Academy Engineer at Made Tech and a Programming Teacher at Algorithmics UK, with a background in data science and research roles across various institutions.
Current Role at Made Tech
Laura M. Zaharia is currently employed as an Academy Engineer at Made Tech. She began her tenure there in January 2022. In this role, she utilizes her background in data science and engineering to contribute to the company's educational initiatives and tech solutions.
Past Experience in Data Science
Laura has held multiple positions in the field of data science. Notably, she worked briefly at Etiq AI and Pivigo as a Data Scientist in 2022 and 2021, respectively. Furthermore, she was associated with Science to Data Science as an S2DS Fellow in 2021. These roles were based in London, England, highlighting her strong presence in the city's tech community.
Tutoring and Teaching Experience
Laura has an extensive background in education. She is currently a Programming Teacher at Algorithmics UK in London. Before that, she was a Math and Physics Tutor at MyTutor.co.uk from 2020 to 2022. Additionally, she worked as a Professional Trainer at Maniera Art Department SRL in 2019. These roles underline her commitment to educating and mentoring others.
Research and Internship Background
Laura's experience includes several research assistant and internship roles. She has worked at prestigious institutes such as the 'Cantacuzino' National Military Medical Institute for Research-Development and the Horia Hulubei National Institute of Physics and Nuclear Engineering - IFIN-HH. Laura also gained global experience by working at institutions like 西交利物浦大学 in China and the Institute of Oncology Prof. Dr. Alexandru Trestioreanu in Romania.
Educational Background
Laura holds a Master of Science in Nanomedicine from Swansea University, completed in 2018. She also earned a degree in Medical Physics from the University of Bucharest, which she completed in 2017. Her educational qualifications support her strong foundation in both medical and physical sciences, contributing to her expertise in data science and research.