Sherri Rose

@sherrirose.bsky.social

Stanford Professor | Computational Health Economics & Outcomes | Fair Machine Learning | Causality | Statistics | Health Policy | Health Equity drsherrirose.org Lab manual: stanfordhpds.github.io/lab_manual Personal account

Excited to share results from a 4-year first-ever RCT across US jails. We (Crystal Yang & I) find that death rates are much higher in jails than officially reported & health care accreditation improves staff coordination, quality & save lives. www.nber.org/papers/w33357

The Hidden Health Care Crisis Behind Bars: A Randomized Trial to Accredit U.S. Jails

Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, an...

nber.org

EC 2025 will be held at Stanford from July 7-12. Itai Ashlagi and I are the chairs. The abstract deadline is February 3, and the paper deadline is February 10. The scope is inclusive of many topics across CS, economics, and operations research. Submit your best work!

Our study, the first post-implementation evaluation of the removal of race adjustment from the eGFR equation, is discussed in this Nature feature www.nature.com/articles/d41... We found no change in nephrology referrals & visits Our paper, led by Marika Cusick proceedings.mlr.press/v248/cusick2...

Making kidney tests work for everyone

The United States has moved to deracialize kidney diagnostics. The move addresses major health-equity issues — but it also shines a light on a problematic clinical test.

nature.com

Was a pre-med junior when a faculty member sent me a flyer about a new program called the Summer Institute for Training in Biostatistics Had never heard of 'biostatistics' as a field; sounded like exactly what I wanted to do Was accepted into the program, ultimately led to a PhD in biostatistics

Dan Quintana@dsquintana.bsky.social · 2y ago

What's the moment of luck that's had the biggest impact for your academic career? For me, it was how I wouldn't have gotten a PhD fellowship if it wasn't for the 1st-ranked person declining, which meant that I was awarded the fellowship as 2nd-ranked applicant. That was my last shot at a PhD.

Hello everyone! I teach a class for graduate students on methods for reproducible research. 🔧 🔢 I would interested to hear about the barriers you face in implementing reproducible practices in your research (e.g., version control, code review, reproducible documents).

Our Post-PhD Health Data Science Careers Panel is this Thursday at 11AM Pacific! Hear from folks at Google, Mathematica, and J&J in careers focused on population health and health policy. Virtual and open to all who register: healthpolicy.fsi.stanford.edu/events/post-...

Sherri Rose@sherrirose.bsky.social · 2y ago

Join us virtually for a Post-PhD Health Data Science Careers Panel focused on population health and health policy! Panelists: Irina Degtiar, @mathematicanow.bsky.social Jack Ching, Google Ben Ackerman, J&J November 21 @ 11AM Pacific Registration: healthpolicy.fsi.stanford.edu/events/post-...

Image with information about the Post-PhD Health Data Science Careers Panel including panelists, date and summary. “Join us for a Post-PhD Health Data Science Careers Panel hosted by the Health Policy Data Science Lab and Stanford Health Policy. This event brings together distinguished scientists from research organizations and industry working in population health and health policy to answer your career questions. We welcome attendance from students, recent graduates, and those looking to make career changes. The panel is open to all who register. Panelists:
Irina Degtiar, PhD
Researcher, Mathematica

Jack Ching, PhD
Senior Health Economist & Outcomes Research Scientist, Google

Benjamin Ackerman, PhD
Principal Scientist, Johnson & Johnson
Previously: Quantitative Scientist, Flatiron Health

Moderator:
Sherri Rose, PhD
Professor, Stanford University

November 21 @ 11am Pacific”

First post! I'm recruiting PhD students this PhD admission cycle who want to work on: a) impactful ML methods for healthcare 🤖, b) computational methods to improve health equity ⚖️, or c) AI for women's health or climate health 🤰🌎 Apply via UC Berkeley CPH or EECS (AI-H) 🌉. irenechen.net/join-lab/

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