Emma Pierson (@2plus2make5) / X

Emma Pierson

2,249 posts

Emma Pierson

@2plus2make5

Assistant prof @Berkeley_EECS, core faculty @UCJointCPH. Developing ML methods to study health & inequality. bsky.app/profile/emmapi…

people.eecs.berkeley.edu/~emmapierson/

Joined December 2013

Pinned
Emma Pierson
@2plus2make5
Feb 26
Our paper, "What's in My Human Feedback", was selected for an oral at ICLR! Our method automatically + interpretably identifies preferences in human feedback data; we use this to improve personalization + safety. Please reach out if you have data/use cases to apply this to!
Raj Movva
@rajivmovva
Feb 25
🎉 Excited that WIMHF was selected for an oral at ICLR 2026!
Emma Pierson
@2plus2make5
Jul 30
New article for Health Affairs Forefront: "The Trillion-Dollar Algorithm: Lessons From Machine Learning For Medicare Advantage Risk Adjustment"!
Divya Shanmugam
@dmshanmugam
Jul 30
🎉 New piece out in Health Affairs Forefront! We discuss what the Medicare Advantage risk-adjustment algorithm -- currently responsible for allocating billions of dollars -- can learn from machine learning. healthaffairs.org/content/forefr…
Emma Pierson
@2plus2make5
Jul 14
Lots of exciting new faculty joining Berkeley at the intersection of AI and society, including @keyonV and @sayashk! Welcome :)
Keyon Vafa
@keyonV
Jul 14
Thrilled to share I'll be joining UC Berkeley next year as an assistant professor in @UCBStatistics and affiliated with @Berkeley_EECS. My research will build methods to test/improve the implicit world models of AI systems, so that they reflect reality and human understanding.
Emma Pierson
@2plus2make5
Jun 22
New piece in @TheAtlantic! We always hear that AI will cure cancer, and I would immediately benefit if it did. But I argue that racing ahead on generalist AI models creates unclear benefits for cancer that are outweighed by broader societal harms. (Gift link in next post)
Emma Pierson
@2plus2make5
Jun 17
Looking forward to this :)
Machine Learning for Healthcare
@mlforhc
Jun 17
Speaker spotlight: Emma Pierson @2plus2make5 , @UCBerkeley . Her work sits at the intersection of machine learning, data science, medicine, and inequality, exactly the kind of cross-disciplinary perspective MLHC was built for. #MLHC2026