Data Scientist @GraySystemsLab

Joined February 2011
I'm currently looking for interns working on transformers for tabular data, building on the ideas of TabPFN. Either spring 2024 or summer 2024 are possible, in person in CA. You need to be enrolled in an MS or PhD program. jobs.careers.microsoft.com/g…, reach out for more info.
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We have multiple internship positions within our research group! If you are interested in working with us this summer, consider applying for any of the following job postings: careers.microsoft.com/us/en/…
Hello Twitter, we are recruiting for a Principal Scientist Manager role in GSL (manager of researchers/engineers/data scientists) in Redmond,WA. Apply or pass along to interested folks: careers.microsoft.com/i/us/e…
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T-3days to SoCC!! Jump in and register, in-person slots are nearly sold-out and online... Well online are not running out as our infra can handle thousands of people, but still time to register!! :-)
Why register for SoCC? A $25 online registration gets you: 1) A chance to enjoy a great program, and interact with speakers and audience! 2) Help us keep the conference affordable for all, and give scholarships to folks that cannot otherwise participate. #inclusivescience
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"Machine learning in production"—even at Google, even at Microsoft—almost always means "linear or traditional models". (and this isn't a bad thing)
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Looking forward to an exciting @vldb2021 where GSL researchers and collaborators will present 4 research papers, 2 industry papers, 1 tutorial, 1 demo, 2 invited talks, and participate in 3 panel discussions.
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Joyce Cahoon retweeted
Or wait was it Donoho himself who coined that phrase? 🤔 You can read for yourself in this awesome influential document: courses.csail.mit.edu/18.337… I’m taking about Sec 9, esp. 9.3 on “cross-workflow analysis.”
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The @scikit_learn team at @sklearn_inria has created a MOOC for getting started with scikit-learn! Go check it out! inria.github.io/scikit-learn… You can leave feedback and suggestions (or make PRs) on the repo here: github.com/inria/scikit-lear…
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The @GraySystemsLab is hiring in different roles, across our locations in Sunnyvale CA, Madison WI, Redmond WA, and Atlanta GA!! lnkd.in/emakNGb lnkd.in/eSRbfJw lnkd.in/eif3tFW lnkd.in/eBhgV2E Share this with your network!!
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🚀I am over-the-moon to announce that I will be joining @Microsoft's Developer Tools division as a Principal PM, starting next Tuesday. This means getting to partner with teams like @code, @Github CodeSpaces, #IntelliCode, & more: bringing a data-driven approach to development.
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My team (GSL led by @carlo_curino) is looking for interns for spring and summer (ostensibly in CA, Seattle and Madison, but actually remote). The team focuses on ML for systems and systems for ML and there's research and engineering and OSS opportunities: careers.microsoft.com/us/en/…
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I decided that retirement was boring and have joined the Developer Division at Microsoft. To do what? Too many options to say! But it’ll make using Python better for sure (and not just on Windows :-). There’s lots of open source here. Watch this space.
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Just saw an amazing talk by @TweetAtAKK on his work on detecting feature types for ML with the ML data prep zoo: adalabucsd.github.io/papers/… Excited to use it to benchmark how dabl is doing and improve its type detection! Talk will be available here soon: remziarpacidusseau.wixsite.c…
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"The case for a learned sorting algorithm", Kristo, Vaidya, et al., SIGMOD'20. blog.acolyer.org/2020/10/16/… #themorningpaper When machine learning penetrates core computer science algorithms...
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Joyce Cahoon retweeted
One of the many lessons we should be learning from COVID: the importance of statistics education. Understanding causality and probability is critical to being informed and making wise choices. How much better off would we be if schools replaced trig or calculus with stats?
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What @joyceisms said! We are hiring interns on Systems/DB/ML areas in Redmond WA, Sunnyvale CA, and Madison WI!! Contact any of the @GraySystemsLab folks you may know if you are interested!
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Joyce Cahoon retweeted
In good software practices, you version code. Use Git. Track changes. Code in master is ground truth. In ML, code alone isn't ground truth. I can run the same SQL query today and tomorrow and get different results. How do you replicate this good software practice for ML? (1/7)
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