Emilien Dupont
Data AnalystResearch Scientist at DeepMind
Google DeepMind
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Research Scientist at DeepMind
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
https://emiliendupont.github.io/
University of Oxford
Doctor of Philosophy - PhD, Machine Learning
January 1, 2018 – January 1, 2022
Stanford University
Master of Science (MS), Computational and Applied Mathematics
January 1, 2014 – January 1, 2016
Imperial College London
Bachelor of Science (BSc), Physics and Theoretical Physics
January 1, 2010 – January 1, 2014
Google DeepMind
Senior Research Scientist
November 1, 2024 – Present
Google DeepMind
Research Scientist
January 1, 2023 – October 1, 2024
DeepMind
Research Scientist Intern
March 1, 2021 – July 1, 2021
London, England, United Kingdom
Apple
Research Intern
December 1, 2019 – June 1, 2020
Oxford, England, United Kingdom
Apple
Research Intern
June 1, 2019 – August 1, 2019
Greater Seattle Area
University of Oxford
PhD Student in Machine Learning
October 1, 2018 – September 1, 2022
Oxford, United Kingdom
Schlumberger
Machine Learning Scientist
June 1, 2016 – July 1, 2018
Menlo Park, CA
Stanford University
Graduate Teaching Assistant
January 1, 2016 – March 1, 2016
Stanford
Gurobi Optimization
Software Engineering Intern
June 1, 2015 – August 1, 2015
Palo Alto, CA
Technical University of Denmark
Research Assistant Mathematics and Scientific Computing
July 1, 2013 – September 1, 2013
Copenhagen Area, Denmark
Imperial College London
Research Assistant High Energy Physics
June 1, 2012 – August 1, 2012
London, United Kingdom
United Nations
Intern
February 1, 2010 – March 1, 2010
Bangkok Metropolitan Area, Thailand
Ministry of Foreign Affairs of Denmark
Attaché at COP15 Climate Conference
November 1, 2009 – December 1, 2009
Copenhagen Area, Denmark
Distributed Max-Flow in Spark
March 1, 2015 – June 1, 2015
Created a distributed Max-Flow algorithm and implemented it in Spark.
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and machine learning, which may not directly align with the typical day-to-day responsibilities and collaborative environment of a Data Analyst role. While the candidate has worked in prestigious institutions, the project diversity and explicit alignment with data analysis (beyond research) are limited. The 'Distributed Max-Flow in Spark' project shows initiative but lacks context on business application or data analysis focus.
Soft Skills & Operational Fit
The candidate's extensive research background suggests strong analytical and problem-solving skills. The teaching assistant role at Stanford indicates some communication and mentorship abilities. However, specific operational fit for a Data Analyst role, especially regarding stakeholder communication, project management, and business impact, is not explicitly detailed in the provided experience descriptions.