Research Scientist @GoogleDeepMind. World models / Reasoning / Tool-use / Gemini.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
USI Università della Svizzera italiana
Doctor of Philosophy (PhD), Artificial Intelligence
September 1, 2016 – November 1, 2020
Maastricht University
Master of Science (MSc), Artificial Intelligence
January 1, 2013 – January 1, 2016
Maastricht University
Master of Science (MSc), Operations Research
January 1, 2013 – January 1, 2015
Maastricht University
Bachelor of Science (BSc), Knowledge Engineering
January 1, 2010 – January 1, 2013
Google DeepMind
Research Scientist
December 1, 2025 – Present
Mountain View, CA
Research Scientist
September 1, 2022 – December 1, 2025
Research Scientist
November 1, 2021 – September 1, 2022
IDSIA
Postdoctoral Researcher
January 1, 2021 – September 1, 2021
Student Researcher - Google Brain Team
September 1, 2020 – December 1, 2020
Zurich, Switzerland
Research Intern - Google Brain Team
March 1, 2018 – August 1, 2018
Zürich Area, Switzerland
IDSIA
Doctoral Researcher
September 1, 2016 – December 1, 2020
NNAISENSE
Research Intern
April 1, 2016 – June 1, 2016
Lugano, Switzerland
IDSIA
Visiting Student
September 1, 2015 – March 1, 2016
Manno, Switzerland
AtonRâ Partners
Scientific Advisor
January 1, 2015 – August 1, 2021
Geneva Area, Switzerland
AtonRâ Partners
Research Intern
July 1, 2014 – December 1, 2014
Geneva Area, Switzerland
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research in AI and deep learning. While this demonstrates intellectual rigor, the target role of 'Data Analyst' typically requires more direct experience with business intelligence, data visualization, SQL, and specific analytical tools. The current profile suggests a strong fit for a research-oriented AI/ML role, but a less direct fit for a standard Data Analyst position, which may require a shift in focus from foundational research to practical business data applications. The lack of diverse project types outside of core AI research limits the assessment of broader cultural fit for a data-centric team.
Soft Skills & Operational Fit
The candidate's extensive research background suggests strong analytical and problem-solving skills. However, the resume lacks specific details on project collaboration, leadership, or direct data analysis operational roles, making it difficult to assess team collaboration or project management fit for a typical Data Analyst role.