Wanru Zhao

Research Intern at Cambridge Centre for Alternative Finance, Cambridge Judge Business School
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Contact Information
us****@****om
(386) 825-5501
Location
Cambridge, England, United Kingdom, UK

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Credentials

  • Data or Specimens Only Research
    CITI Program
    Apr, 2023
    - Nov, 2024

Experience

    • Research Intern
      • Nov 2022 - Present

      The Cambridge Bitcoin Electricity Consumption Index (CBECI) is an ongoing project created and maintained by the Cambridge Digital Assets Programme (CDAP) Team at the Cambridge Centre for Alternative Finance, an independent research institute based at the University of Cambridge, Judge Business School. See here: https://www.ft.com/content/1aecb2db-8f61-427c-a413-3b929291c8ac The Cambridge Bitcoin Electricity Consumption Index (CBECI) is an ongoing project created and maintained by the Cambridge Digital Assets Programme (CDAP) Team at the Cambridge Centre for Alternative Finance, an independent research institute based at the University of Cambridge, Judge Business School. See here: https://www.ft.com/content/1aecb2db-8f61-427c-a413-3b929291c8ac

    • United Kingdom
    • Accounting
    • 700 & Above Employee
    • Software Developer
      • Apr 2022 - Apr 2022

      Digital Future of Work Hackathon The Digital Future of Work initiative by KPMG celebrates the United Nation’s World Creativity & Innovation Day with its theme of Collaboration through ecosystems This initiative is focused on the United Nation’s Sustainable Development Goal — Decent work and economic growth — designed to promote full and productive employment and sustained, inclusive economic growth Digital Future of Work Hackathon The Digital Future of Work initiative by KPMG celebrates the United Nation’s World Creativity & Innovation Day with its theme of Collaboration through ecosystems This initiative is focused on the United Nation’s Sustainable Development Goal — Decent work and economic growth — designed to promote full and productive employment and sustained, inclusive economic growth

    • United Kingdom
    • Higher Education
    • 1 - 100 Employee
    • EnterpriseTECH
      • Dec 2021 - Mar 2022

      A patent pending string of 4 characters and colours, creating a visual, memorable code that can be associated to a user-defined URL. Four.me enables anyone to help drive traffic to a website by providing a 4 character code, that can be displayed in the physical world, that is a unique link to an associated webpage. Each unique code comprised of 4 letters/characters, with each letter character being either red, green, blue or yellow is referred to as a 'Four'. A patent pending string of 4 characters and colours, creating a visual, memorable code that can be associated to a user-defined URL. Four.me enables anyone to help drive traffic to a website by providing a 4 character code, that can be displayed in the physical world, that is a unique link to an associated webpage. Each unique code comprised of 4 letters/characters, with each letter character being either red, green, blue or yellow is referred to as a 'Four'.

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Software Development Engineer Intern
      • Feb 2021 - Sep 2021

      Amazon AI Lab, Deep Graph Library (DGL) Group. Developed GNNLens: an interactive visualization tool for graph neural networks (See https://github.com/dmlc/GNNLens2) Amazon AI Lab, Deep Graph Library (DGL) Group. Developed GNNLens: an interactive visualization tool for graph neural networks (See https://github.com/dmlc/GNNLens2)

    • United States
    • Higher Education
    • 700 & Above Employee
    • International Summer Undergraduate Research Experience (iSURE) student
      • Jul 2020 - Oct 2020

      Took part in International Summer Undergraduate Research Experience (iSURE) and participated in independent research on the topic of self-supervised learning based on a framework for contrastive learning of visual representations. Took part in International Summer Undergraduate Research Experience (iSURE) and participated in independent research on the topic of self-supervised learning based on a framework for contrastive learning of visual representations.

    • Hong Kong
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Research Intern
      • Feb 2020 - Sep 2020

      Spring Team, Model Quantization and Neural Network Deployment Spring Team, Model Quantization and Neural Network Deployment

    • United States
    • Software Development
    • 700 & Above Employee
    • Participant
      • Jan 2020 - Jan 2020

      Machine Learning Winter Camp, Project: I❤️Calligraph (https://github.com/Ryan0v0/Google_ML_Camp) Machine Learning Winter Camp, Project: I❤️Calligraph (https://github.com/Ryan0v0/Google_ML_Camp)

Education

  • Max Planck Society
    Pre-doctoral Research School, Computer Science
    2022 - 2022
  • University of Cambridge
    Master of Philosophy - MPhil, Computer Science
    2021 - 2022
  • Beihang University
    Bachelor of Engineering - BE, Computer Science and Engineering
    2017 - 2021
  • University of Cambridge
    Visiting Student, 4.0/4.0, got A in all courses
    2018 - 2018
  • The Affiliated High School Of Shanxi University
    High School Diploma, Bronze Medal in National Olympiad in Informatics(NOI)
    2014 - 2017

Community

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