Aws Albarghouthi

@awsto.bsky.social

Computer science professor University of Wisconsin–Madison https://pages.cs.wisc.edu/~aws/

🚀 Announcing QECLean, our effort to formalize quantum error correction and fault-tolerance in Lean. The effort is led by PhD student, Stavan Jain. We have a full formalization of the Toric Code and a proof of its distance, [[2L^2, 2, L]]! And more to come...

Advice from Ranjit Jhala for young researchers includes "As you get older your interests shrink to just a few topics. Resist this urge for as long as possible and try to be interested in as many things as possible for as long as possible."

Aws Albarghouthi@awsto.bsky.social · last yr.

As part of SIGPLAN blog, @samps.phd (Cornell) and I started an interview series where we talk to luminaries in the field of Programming Languages. Our first one is a super fun conversation with Ranjit Jhala (UCSD). 1h26m of goodness. www.youtube.com/watch?v=goUZ...

I'm joining Wisconsin CS as an assistant professor in fall 2026!! There, I'll continue working on language models, computational social science, & responsible AI. 🌲🧀🚣🏻‍♀️ Apply to be my PhD student! Before then, I'll postdoc for a year in the NLP group at another UW 🏔️ in the Pacific Northwest

Wisconsin-Madison's tree-filled campus, next to a big shiny lake A computer render of the interior of the new computer science, information science, and statistics building. A staircase crosses an open atrium with visibility across multiple floors

One of the main reasons quantum computing can be scary for many CS students is the notation. E.g., what's the probability of measuring 0 for the ith qubit? The standard construction is horrendous, but it's really just a simple filter/map/reduce:

Bild

US politics right now is like that episode of Oprah where she gave away all the cars, but instead she kept giving cars and taking cars away and setting cars on fire and making people beg for cars and also didn't understand what cars actually were

Enjoyed working on this project & am super excited to share it at #chi25 ! Thankful to Yea-Seul for the HCI mentorship and @lorisdanto.bsky.social & @awsto.bsky.social for supporting me in trying something different

Loris D'Antoni@lorisdanto.bsky.social · 2y ago

How do people feel when different “equally good” machine learning models disagree on whether an individual should get a loan or job? Anna Meyer (co-advised with @awsto.bsky.social) answers this question in her CHI25 paper. Great collab with Yea-Seul Kim arxiv.org/abs/2409.12332