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VP Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UCL
Master's Degree, Machine Learning
January 1, 2014 – January 1, 2015
Tsinghua University
Overseas Scholar attending PhD/MSc classes (all taught in Mandarin Chinese), Power System Optimisation
January 1, 2013 – January 1, 2014
Beijing Language and Culture University
Chinese
January 1, 2012 – January 1, 2013
Waseda University
Exchange Student (1 Year), Nanotechnology and Electronics
January 1, 2010 – January 1, 2011
UCL
MEng, Electrical and Electronics Engineering
January 1, 2008 – January 1, 2012
Yamasa Institute ヤマサ言語文化研究所
Japanese
January 1, 2007 – January 1, 2008
Coller Capital
Vice President, Data Science
January 1, 2025 – Present
London, England, United Kingdom
Coller Capital
Senior Machine Learning Engineer
July 1, 2022 – January 1, 2025
London, England, United Kingdom
Callsign
Lead Machine Learning Engineer
September 1, 2020 – July 1, 2022
Callsign
Research Scientist
October 1, 2019 – September 1, 2020
Verv
Deep Learning Specialist
February 1, 2018 – October 1, 2019
Verv
Machine Learning Developer
September 1, 2015 – January 1, 2018
France Telecom R&D
Artificial Intelligence (AI) & 4G Lab Research Internship
July 1, 2010 – September 1, 2010
Research and Development Tokyo, 9th Floor, Keio Shinjuku Oiwake Bldg, Shinjuku
Ultra Fast Optics Group
Undergraduate Intern
June 1, 2009 – August 1, 2009
Torrington Place, London WC1E 7JE,
NedRailways London Ltd.
Bid Formatter
September 1, 2006 – November 1, 2006
Holborn, London
Ship-Shape Resources Ltd.
Sales
June 1, 2005 – November 1, 2005
Paddington, London
The Data Scientist’s Toolbox
Coursera
June 24, 2026 – Present
Functional Programming Principles in Scala
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Algorithms: Design and Analysis, Part 2
Coursera
June 24, 2026 – Present
Algorithms: Design and Analysis, Part 1
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive international academic background (Tsinghua, Waseda, Beijing Language and Culture University) and diverse early career experiences suggest a high degree of adaptability and openness to different cultures. The progression through various roles in data science and machine learning indicates a drive for growth and learning. However, the target role of 'Data Analyst' appears to be a significant step down from their current and past senior Machine Learning/Data Science leadership positions (e.g., VP, Data Science, Lead ML Engineer). This misalignment raises questions about the candidate's long-term motivation and fit for a more junior analytical role, potentially indicating a mismatch in expectations or a strategic career shift not fully explained by the provided data. The lack of specific project details makes it hard to assess alignment with specific company values or team dynamics.
Soft Skills & Operational Fit
The candidate's career progression from Machine Learning Developer to Vice President, Data Science, suggests strong leadership potential, problem-solving abilities, and a capacity for continuous learning. The diverse academic background and international experience indicate adaptability and cross-cultural communication skills. However, without specific project descriptions or behavioral assessment data, it is difficult to fully assess soft skills like teamwork, conflict resolution, or detailed operational fit beyond what can be inferred from role titles.