Work Experience
Google DeepMind
Senior Staff Research scientist
Position
Senior Staff Research scientist
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.
Senior Staff Research scientist
Senior Staff Research scientist
Senior Staff Research Scientist
Senior Staff Research Scientist
Staff Research Scientist
Staff Research Scientist
Senior Research Scientist
Senior Research Scientist
Research Scientist
Research Scientist
Affiliate Professor in Computer Science and Engineering department
Affiliate Professor in Computer Science and Engineering department
Research Scientist
Research Scientist
Ph.D
Areas of Concentration: Interactive Machine Learning
Committee: Julie Shah, Cynthia Rudin and Randall Davis
Research Intern
Research Intern at Machine Learning API team
Development of Bayesian Interpretable models and result visualization
Software engineer
Development of a new framework to interface MATLAB with C/C++
Research Intern
Optimizing airline routes; Data search, organization and analysis
Intern
User interface design; Website traffic analysis; Website promotion project organizer
Doctor of Philosophy (PhD)
Doctor of Philosophy (PhD) - Computer Science
Masters
Masters - Computer Science and Artificial Intelligence Laboratory (CSAIL)
B.S.
B.S. - Mechanical and Aeronautics Engineering
Focus on creating human-centered AI systems and methodologies for model communication.
Expertise in developing sophisticated algorithms and models for various computational tasks.
Proficiency in professional software development practices, including C++, Java, and version control.
Extensive experience with the MATLAB environment for numerical computing and simulation.
Active involvement in advancing the fields of Machine Learning and AI through leadership roles, program committees, and community advocacy.
Senior Program Chair, ICLR 2023
Workshop Chair, ICLR 2019
Steering Committee and Area Chair, FAccT conference
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
Co-organizer, Workshops on Human Interpretability in ML (WHI)
Former Executive Board Member and VP, Women in Machine Learning