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Co-Founder & CTO at Latent Technology.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Nottingham
Doctor of Philosophy - PhD, Physics (Magnetic Resonance Imaging)
January 1, 2008 – January 1, 2012
Institute of Physics and Engineering in Medicine (IPEM)
IPEM Post graduate diploma (DipIPEM), Medical Physics
January 1, 2007 – January 1, 2008
University of Leeds
Master of Science (MSc), Medical Physics
January 1, 2006 – January 1, 2007
The University of Manchester
MPhys, Physics
January 1, 2000 – January 1, 2004
Latent Technology
Co-Founder, CTO.
December 1, 2022 – Present
Hybrid
Embark Studios AB
Senior Deep Learning Research Engineer
January 1, 2019 – November 1, 2022
Stockholm, Sweden
Electronic Arts (EA)
Senior Deep Learning Research Engineer
December 1, 2016 – January 1, 2019
Stockholm, Sweden
Leonardo
R&D Software Engineer
September 1, 2014 – November 1, 2016
Southampton
Kings College London
Research Associate
February 1, 2012 – September 1, 2014
London, United Kingdom
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on research and development, particularly in advanced AI/ML domains (Reinforcement Learning, Deep Learning). While this demonstrates a capacity for innovation and complex problem-solving, their experience is heavily skewed towards AI/ML engineering and research, which is not a direct match for a 'Data Analyst' role. The projects and roles described do not explicitly highlight traditional data analysis skills such as statistical modeling, business intelligence, data visualization, or specific data analysis tools (e.g., SQL, Python for data analysis, R, Tableau, Power BI). This suggests a potential mismatch with the target role's typical responsibilities, which often involve extracting insights from existing datasets rather than developing novel AI algorithms.
Soft Skills & Operational Fit
The candidate's experience as a Co-Founder and CTO, along with leading R&D projects, suggests strong leadership, problem-solving, and innovation skills. Their academic background in physics and medical imaging indicates a rigorous, analytical approach to complex problems. However, the provided data does not offer direct insights into communication, stress handling, or team collaboration beyond the descriptions of their roles.