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Michelle Carney

Sr. UX Researcher, Machine Learning + AI at Google

Michelle Carney is a Senior UX Researcher specializing in Machine Learning and AI at Google.14 She combines her expertise in computational neuroscience with user experience research to focus on the intersection of data science and UX.23

Carney's educational background includes:

  • Master's degree in Information Management and Systems from UC Berkeley School of Information, with a concentration in Data Science and User Experience4
  • Bachelor's degrees in Cognitive Science and Molecular and Cell Biology from UC Berkeley4

In addition to her role at Google, which she started in August 20195, Carney:

  • Lectures at the Stanford d.school (Hasso Plattner Institute of Design) since January 20194
  • Organizes the Machine Learning and UX Meetup2
  • Has worked on projects such as Google's TensorFlow team, Magenta's Tone Transfer project, and the People + AI Research team23

Her work involves ensuring that machine learning tools are user-friendly, inclusive, and solve real-world problems.3 Carney's unique approach combines her diverse background in music, neuroscience, teaching, and machine learning to improve the user experience of AI and ML technologies.23

Related Questions

What are some of Michelle Carney's most notable projects at Google?
How did Michelle Carney transition from neuroscience to UX research?
What insights has Michelle Carney shared about the intersection of machine learning and UX?
Can you provide examples of how Michelle Carney's work has impacted Google's products?
What lessons has Michelle Carney learned from her diverse career background?
Michelle Carney
Michelle Carney, photo 1
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Location

San Francisco Bay Area