Michelle Carney

About Michelle Carney

UX Researcher focused on creating a future of AI / ML / LMs that are approachable for everyone.From my background in computational neuroscience, I learned that just because you can build an ML model doesn\'t mean people want to use it or find it useful - and that started my career path down UX!I lead UXR Programs focused on AI/LM experiences - from dev tools and experimentation platforms, to novel applications of AI (Opal, Tone Transfer). I work hand in hand with my Design, PM, and Eng partners to ensure that what we\'re building is right for our users, and I specialize in rapid research with quick and direct turn around that impact product and ships features.Note - for security reasons, I only connect with people I know.

Experience

1. Lecturer - Designing Machine Learning

   Stanford d.school

   Jan 2019 — Present

   Developed course on \"Designing Machine Learning,\" focusing on designable ML, AI/ML ethics

Education

• University of California, Berkeley

  Bachelor of Arts (BA), B.A., Cognitive Science, & B.A., Molecular and Cell Biology

• UC Berkeley School of Information

  Master's degree, Information Management and Systems

Skills

• Literature Reviews
• Front-End Engineering
• Volunteer Management
• Cognitive Psychology
• Neuroscience
• Matlab
• Disaster Response
• Molecular Biology
• Behavioral Neuroscience
• Information Architecture
• Qualitative Research
• Animal Models
• Javascript
• Machine Learning
• Meeting Scheduling
• Css
• Web Design
• Communication Skills
• Statistics
• Research
• Experimental Design
• Analytics
• Engaging Public Speaker
• Ruby on Rails
• Research Design
• User Experience
• Experimentation
• Microsoft Excel
• Python
• Event Planning
• Html
• Prototyping
• Instructor-Led Training
• Data Analysis
• Interaction Design
• Cascading Style Sheets (Css)
• Preparedness
• Microsoft Office
• Cognitive Neuroscience
• Jquery