Georgia Ionescu, PhD, has a diverse work experience spanning various research and engineering roles. Georgia is currently working as a Deep Learning/Medical Imaging Research Scientist at Mirada Medical, starting in April 2021. Prior to this, they worked as an ML Research Engineer at DigitalBridge HQ from January 2020 to April 2021.
Before joining the industry, Georgia pursued their doctoral degree at The University of Manchester from September 2015 to December 2019. Their research focused on predicting breast cancer risk from mammographic images using deep learning techniques. During this time, they gained expertise in machine learning and deep learning, working with Convolutional Neural Networks and exploring Spatial Transformers and Domain Adaptation networks.
Georgia also worked as a Research Assistant at Université de Genève from August 2012 to June 2015, contributing to research projects. As an intern at Ordecsys from April 2011 to November 2011, Georgia gained practical experience in their field. Georgia started their career as a Web Developer at Macpixel from May 2008 to September 2009.
Overall, Georgia Ionescu, PhD, has a strong background in research, particularly in machine learning and deep learning, with experience in both industry and academia.
Georgia Ionescu, PhD has a strong educational background in computer science. Georgia obtained their Doctor of Philosophy (PhD) in Computer Science from The University of Manchester from 2015 to 2019. Prior to their PhD, they completed their Master's degree in Computer Science at the University of Geneva from 2010 to 2012. In their earlier years, from 2004 to 2009, they earned their Bachelor's degree in Software Ingineering, Information Security, and Automation from Universitatea "Politehnica" din Timișoara. Georgia Ionescu also attended C.N. Fratii Buzesti from 2000 to 2004, although the specific degree obtained is not provided.
In addition to their academic achievements, Georgia Ionescu has obtained a certification in AWS Fundamentals: Building Serverless Applications from Coursera in April 2020.
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