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Been KimBeen Kim

Been Kim

Senior Staff Research Scientist / Google DeepMind

Been Kim is a Senior Staff Research Scientist at Google DeepMind, specializing in interpretable machine learning (Explainable AI). Her research focuses on developing human-centered tools and concepts to help people communicate with and understand complex ML models. She is known for her work on TCAV (Testing with Concept Activation Vectors), which received the UNESCO Netexplo award, and has given keynotes at major conferences like ICLR 2022 and ECML 2020.

PhD, Massachusetts Institute of Technology
TwitterTwitter
YouTubeYouTube351 subscribers
LinkedInLinkedIn2.5K
Artificial IntelligenceMachine LearningResearch
2.5K
LinkedIn Followers
3+
Keynote Speeches
7+
Years at Google
UNESCO Netexplo
Major Award
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Work Experience

Google DeepMindGoogle DeepMind
Google DeepMind

Senior Staff Research scientist

Apr 2023 - Present
Position
Senior Staff Research scientist
Google BrainGoogle Brain
Google Brain

Senior Staff Research Scientist

Apr 2023 - Apr 2023
Position
Senior Staff Research Scientist
Google BrainGoogle Brain
Google Brain

Staff Research Scientist

Oct 2020 - Apr 2023
Position
Staff Research Scientist
Google BrainGoogle Brain
Google Brain

Senior Research Scientist

Nov 2018 - Oct 2020
Position
Senior Research Scientist
Google BrainGoogle Brain
Google Brain

Research Scientist

Apr 2017 - Nov 2018
Position
Research Scientist
University of WashingtonUniversity of Washington
University of Washington

Affiliate Professor in Computer Science and Engineering department

Aug 2015 - Apr 2017
Position
Affiliate Professor in Computer Science and Engineering department
Allen Institute for Artificial Intelligence (AI2)Allen Institute for Artificial Intelligence (AI2)
Allen Institute for Artificial Intelligence (AI2)

Research Scientist

Aug 2015 - Apr 2017
Position
Research Scientist
MITMIT
MIT

Ph.D

Feb 2012 - Jun 2015
Responsibilities
Areas of Concentration: Interactive Machine Learning Committee: Julie Shah, Cynthia Rudin and Randall Davis
Google ResearchGoogle Research
Google Research

Research Intern

May 2014 - Aug 2014
Responsibilities
Research Intern at Machine Learning API team Development of Bayesian Interpretable models and result visualization
The MathWorksThe MathWorks
The MathWorks

Software engineer

Sep 2010 - Jan 2012
Responsibilities
Development of a new framework to interface MATLAB with C/C++
Bain & CompanyBain & Company
Bain & Company

Research Intern

May 2007 - Jul 2007
Responsibilities
Optimizing airline routes; Data search, organization and analysis
iTalknewsiTalknews
iTalknews

Intern

Dec 2005 - Feb 2006
Responsibilities
User interface design; Website traffic analysis; Website promotion project organizer

Education

Massachusetts Institute of TechnologyMassachusetts Institute of Technology
Massachusetts Institute of Technology

Doctor of Philosophy (PhD)

2012 - 2015
Field of Study
Doctor of Philosophy (PhD) - Computer Science
Massachusetts Institute of TechnologyMassachusetts Institute of Technology
Massachusetts Institute of Technology

Masters

2007 - 2010
Field of Study
Masters - Computer Science and Artificial Intelligence Laboratory (CSAIL)
Seoul National UniversitySeoul National University
Seoul National University

B.S.

2003 - 2007
Field of Study
B.S. - Mechanical and Aeronautics Engineering

Core Technical Competencies

Artificial Intelligence (AI)

Focus on creating human-centered AI systems and methodologies for model communication.

Machine Learning

Expertise in developing sophisticated algorithms and models for various computational tasks.

Software Engineering

Proficiency in professional software development practices, including C++, Java, and version control.

MATLAB

Extensive experience with the MATLAB environment for numerical computing and simulation.

Professional Service & Advisory Roles

Active involvement in advancing the fields of Machine Learning and AI through leadership roles, program committees, and community advocacy.

Conference Leadership
Senior Program Chair, ICLR 2023Workshop Chair, ICLR 2019Steering Committee and Area Chair, FAccT conference
Program Committees & Reviewing
Senior Area Chair/Program Committee, NeurIPS (2017-Present)Senior Area Chair/Program Committee, ICML (2019-Present)Area Chair/Program Committee, ICLR (2020-Present)Area Chair/Program Committee, AISTATS (2020-Present)Steering Committee and Area Chair, IEEE Conference on Secure and Trustworthy Machine Learning

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