Jobie Budd

Jobie Budd has a diverse and extensive work experience in the field of data science and research. They started their career as a Data Science Fellow at Faculty, where they completed a 6-week placement with the NHS, focusing on inequalities in patient outcomes. They then worked as a Research Fellow at UCL, focusing on digital health and smartphone-powered mRNA sequence detection. Jobie also served as a Visiting Researcher at The Alan Turing Institute, before taking on the role of an Early Career Researcher - Research Lead at the UK Health Security Agency, where they led various COVID-19-related innovation projects. Prior to that, Jobie worked as a Research Assistant at UCL, primarily focusing on COVID-19 research and contributing to the development of the i-sense COVID RED dashboard. They also played a significant role in the Data Science for Social Good Foundation as a Data Science Fellow, working with The Alan Turing Institute on the data-driven prioritization of independent fostering agency inspections for Ofsted. Jobie's most recent work experience is as a Machine Learning Engineer at Lucida Medical Ltd.

Jobie Budd's education history begins in 2014 when they attended The Chinese University of Hong Kong. It is not specified whether they obtained a degree from this institution, but their field of study was in Biomedical/Medical Engineering.

From 2012 to 2016, Jobie studied at UCL (University College London), where they obtained a Bachelor's degree in Electrical and Electronics Engineering. Jobie earned a Master of Engineering (MEng) during this period.

Jobie continued their education at UCL, where they pursued a Doctor of Philosophy (PhD) degree in the Division of Medicine. Jobie started this program in 2016 and is expected to complete it in 2022.

In summary, Jobie Budd's education history includes a Bachelor's degree in Electrical and Electronics Engineering from UCL, completion of courses in Biomedical/Medical Engineering at The Chinese University of Hong Kong, and currently pursuing a PhD at UCL in the Division of Medicine.