It is outrageous that peaceful transition is even a question. And even more outrageous that the response of the President of the USA is to "get rid of the ballots" so "there won't be a transfer frankly--there will be a continuation". #getridoftheballots #GetRidOfTrump

Olivia is a colleague of ours. Please share!

Can we make counterfactual predictions using only a subset of the confounding factors that affect both decisions and outcomes? Check out this new post by Amanda Coston for a provably efficient method for doing so! Post: blog.ml.cmu.edu/2021/04/16/cou… Paper: arxiv.org/abs/2006.16916

Check out my blog post on making counterfactual predictions under runtime confounding with Edward Kennedy and Alex Chouldechova!

WSJ article covered our research on demographic bias in mobility data used for COVID-19 policy-making: wsj.com/articles/smart…

Grateful to be awarded the AI at Meta Research PhD fellowship! Thanks Meta Research for supporting my work on Causal Inference + Fairness + ML! research.facebook.com/fellows/coston…

Credit to my incredibly supportive and brilliant advisors Edward Kennedy and Alex Chouldechova for their invaluable mentorship & encouragement!

Excited to propose my PhD thesis on Principled ML for high-stakes decisions tomorrow! Come check it out! cs.cmu.edu/calendar/15753…

On my way to #FAccT22 in Seoul!

Excited for Mikaela Meyer’s talk at #FAccT2022 on flipping the script on criminal risk assessments! facctconference.org/static/pdfs_20…

Excited to present my poster on validity as a lens for evaluating justifiability of decision making algorithms at EAAMO! #eaamo2022

Thrilled that our work on evaluating the justifiability of decision-making algorithms got a best paper award at SATML and that Anna Kawakami presented the research! Hoda Heidari Ken Holstein Haiyi Zhu SaTML Conference

Thanks for celebrating this work in the SaTML community! Congrats to the amazing Amanda Coston who led this research & the rest of the stellar team Hoda Heidari Ken Holstein Haiyi Zhu We center validity considerations towards improving model evaluations: tinyurl.com/satml-validity 🏅

Huge congrats to lead author Luke Guerdan and team on FAccT best paper award for our work on measurement error & counterfactuals. Our counterfactual prediction method addresses measurement error, treatment effects, and selection bias. dl.acm.org/doi/10.1145/35… Ken Holstein Steven Wu

My co-author Rebecca Barter and I are thrilled to announce the online release of our MIT Press book "Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making" (vdsbook.com), an essential source for producing trustworthy data-driven results.

Assistant Professor Jacob Steinhardt and incoming Assistant Professor Amanda Coston have been named Schmidt Sciences’ AI2050 Early Career Fellows! #BerkeleyStats

Thank you Schmidt Sciences for the support! Such an honor to be in this incredible cohort of researchers. Excited to work towards ensuring AI functions as intended in real-world settings. Berkeley Statistics UC Berkeley CDSS schmidtsciences.org/ai2050-early-c…

Excited to have joined UC Berkeley CDSS and Berkeley Statistics as an Assistant Professor!

Have thoughts on what the nation’s AI policy should be? Submit a comment before March 15 to the White House. Your expertise matters! whitehouse.gov/briefings-stat…

Presenting “Anomalies by synthesis” at #ICRA2025: a diffusion-based approach that segments anomalies in images by first synthesizing what the image should’ve looked like if it were in-distribution, and then analyzing the difference between the two images! siddancha.github.io/anomalies-by-d…