Radu Ionescu
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Professor at Faculty of Mathematics and Computer Science, University of Bucharest
I am Professor at the University of Bucharest and co-founder at SecurifAI. I completed my PhD at the University of Bucharest in 2013. I received the 2014 Award for Outstanding Doctoral Research in the field of Computer Science from the Romanian Ad Astra Association. My research interests include machine learning, text mining, computer vision, image processing and computational biology. I published over 110 articles at international peer-reviewed conferences and journals, and a research monograph with Springer. I received the "Caianiello Best Young Paper Award" at ICIAP 2013 for the paper entitled "Kernels for Visual Words Histograms". I also received the "Young Researchers in Science and Engineering" Prize awarded by prof. Rada Mihalcea for young Romanian researchers in all scientific fields, and the "Danubius Young Scientist Award 2018 for Romania" awarded by the Austrian Federal Ministry of Education, Science and Research. Together with other co-authors, I obtained good rankings at several international competitions: 4th place in the Facial Expression Recognition Challenge of WREPL 2013, 3rd place in the NLI Shared Task of BEA-8 2013, 2nd place in the ADI Shared Task of VarDial 2016, 1st place in the ADI Shared Task of VarDial 2017, 1st place in the NLI Shared Task of BEA-12 2017, 1st place in the ADI Shared Task of VarDial 2018.
Faculty of Mathematics and Computer Science, University of Bucharest
Doctor of Philosophy - PhD, Artificial Intelligence
January 1, 2011 – January 1, 2013
Faculty of Mathematics and Computer Science, University of Bucharest
Master's degree, Artificial Intelligence
January 1, 2009 – January 1, 2011
Faculty of Mathematics and Computer Science, University of Bucharest
Bachelor of Science (BS), Computer Science
January 1, 2006 – January 1, 2009
Faculty of Mathematics and Computer Science, University of Bucharest
Professor
September 1, 2019 – Present
Inception Institute of Artificial Intelligence
Research Scientist
September 1, 2018 – December 1, 2018
Abu Dhabi, United Arab Emirates
Veridium
Machine Learning Team Lead
November 1, 2017 – Present
Bucharest
SecurifAI
Co-Founder & CTO
September 1, 2016 – Present
Bucharest
Faculty of Mathematics and Computer Science, University of Bucharest
Associate Professor
July 1, 2016 – September 1, 2019
The University of Edinburgh
Visiting Research Fellow
June 1, 2015 – September 1, 2015
Edinburgh, United Kingdom
IRIT (Institut de Recherche en Informatique de Toulouse)
Visiting Research Fellow
January 1, 2015 – April 1, 2015
Toulouse Area, France
Faculty of Mathematics and Computer Science, University of Bucharest
Lecturer
January 1, 2014 – July 1, 2016
Sparktech Software LLC
iOS Developer, Machine Learning Engineer
September 1, 2012 – September 1, 2017
Bucharest, Romania
Faculty of Mathematics and Computer Science, University of Bucharest
PhD. Researcher
September 1, 2011 – December 1, 2013
Housatonic Software
iOS Developer
May 1, 2011 – September 1, 2011
Cronian Labs
iOS Developer
February 1, 2010 – August 1, 2012
Cultural Fit Analysis
The candidate has a strong academic and research-oriented background, with significant experience in AI/ML development. While this demonstrates a high level of technical expertise, the target role of 'Data Analyst' might represent a shift from their primary focus on AI/ML research and development. The breadth of experience is strong in AI, but less explicit in traditional data analysis, business intelligence, or specific data visualization tools often associated with a Data Analyst role. This could indicate a potential mismatch in day-to-day responsibilities and expectations, though their analytical skills are undoubtedly high.
Soft Skills & Operational Fit
The candidate's extensive academic and leadership roles suggest strong analytical, problem-solving, and communication skills. Experience in research and development implies an ability to work autonomously and innovate. The co-founder role indicates entrepreneurial drive and strategic thinking. However, specific operational fit for a Data Analyst role, which often involves more direct business intelligence and reporting, is not explicitly detailed.