General Information

Name Andrew Michael Bean
Institution Oxford Internet Institute
Location Oxford, United Kingdom


  • 2022 - Present
    Oxford Internet Instutute, University of Oxford
    • Advisors: Dr Adam Mahdi, Dr Luc Rocher
  • 2022
    MSc in Social Data Science
    Oxford Internet Instutute, University of Oxford
    • Awarded with Distinction
    • Thesis: Teaching AI to Cooperate with Human Partners through Rule-based Play
  • 2017
    BSc in Applied Mathematics
    Yale University
    • Awarded with Distinction (3.94 GPA in the major)
    • Awarded cum laude (3.87 GPA overall)
    • Thesis: nullSolve: An iterative kernel-based method for solving directed Laplacian systems


  • 2023 - Present
    Stanford University, Bing Overseas Study Program
    • Designed a new undergraduate course covering introductory ethics concepts through AI case studies
    • Led weekly seminars discussing pre-assigned readings
    • Provided ongoing feedback on written coursework and presentations
    • Earned perfect student ratings for learning and quality of instruction
  • 2021 - Present
    DPhil Student
    Oxford Internet Institute, University of Oxford
    • Designed and ran research studies about training and benchmarking large language models
    • Coordinated large projects with multiple external stakeholders and funders
    • Mentored MSc and junior PhD students
    • Co-coordinated a Data-Centric Machine Learning Workshop at ICML '24
    • Taught and assisted with courses in statistics and computational methods
  • 2021
    Data Science Consultant
    • Collaborated with the CEO to produce ongoing investor presentations
    • Trained machine learning models to assess opportunities for investment
    • Oversaw research design and analysis of A/B testing on platform changes
    • Designed and piloted a new client data platform for live reporting
    • Standardized data best-practices through templatization and authoring of a data dictionary
    • Renovated data ETL pipelines, replacing manual processes with reusable scripts
  • 2017-2021
    Investment Associate
    Bridgewater Associates
    • Expanded upon global macroeconomic understanding through fundamental analysis of market drivers across global markets
    • Served as business product owner for a new data visualization platform
    • Drafted and prepared analytics for external publication, including representing the company voice in quarterly letters
    • Co-led an overhaul of the analytics training course for new associates, resulting in significantly higher impact as rated by managers
    • Modelled and projected return scenarios to support risk allocation decisions for a $100bn flagship portfolio
    • Developed proprietary algorithms to trade fixed income markets from quantitative understanding of market drivers

Honors and Awards

  • 2022
    • Clarendon Scholar
    • Algorithmic Bias Bounty: Most Innovative Approach
  • 2015
    • Thouron Scholar
  • 2013
    • U.S. Presidential Scholar Semi-Finalist