Katie Chen Email and Phone Number
https://www.k80chen.com/
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Data Science InternApple Jun 2024 - PresentCupertino, California, UsData Science and Visualization -
Research AssistantMit Computer Science And Artificial Intelligence Laboratory (Csail) Jun 2023 - PresentCambridge, Ma, UsData Visualization Group: https://vis.csail.mit.edu/ -
Graduate Teaching AssistantMassachusetts Institute Of Technology May 2022 - Jun 2024Cambridge, Ma, Us6.C85 Data Visualization and SocietyBreak Through Tech - Machine Learning Foundations15.087 Engineering Statistics and Data Science15.086 Engineering Probability2.739 Product Design and Development15.777 Healthcare Lab -
Hardware Product ManagerMicrosoft May 2019 - Jul 2021Redmond, Washington, Us -
User ResearcherMicrosoft Oct 2018 - May 2019Redmond, Washington, Us -
Investment Research AnalystHax May 2018 - Aug 2018San Francisco, Ca, UsHAX-SOSV is one of the world's largest hard tech investor based in Shenzhen and SF. It offers Seed Program that combines a $250,000 USD investment, 180 days of hands-on collaboration, and a global founder community for early stage founders building hard-tech startups.
Katie Chen Skills
Katie Chen Education Details
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Massachusetts Institute Of TechnologyElectrical Engineering And Computer Science -
Mit Sloan School Of ManagementEngineering And Management -
Nyu ShanghaiBachelor Of Science - Bs -
Tel Aviv UniversityCyber Security | Middle Eastern History
Frequently Asked Questions about Katie Chen
What company does Katie Chen work for?
Katie Chen works for Apple
What is Katie Chen's role at the current company?
Katie Chen's current role is EECS & IDM @ MIT | Data Vis | Accessibility | Human-Centered Product | Ex-Microsoft.
What schools did Katie Chen attend?
Katie Chen attended Massachusetts Institute Of Technology, Mit Sloan School Of Management, Nyu Shanghai, Tel Aviv University.
What skills is Katie Chen known for?
Katie Chen has skills like Event Planning, Python, R (Programming Language, Product Development, R, Data Analytics, Public Speaking, Machine Learning, Product Management, Human Computer Interaction, User Experience, User Research.
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