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really nice work that identifies and combats a very real problem. it does seem like a high-powered tool for both sides...

Really excited for C. Mohan to visit Columbia and share his wisdom about cloud dbms systems!! The Data Science Institute at Columbia University ColumbiaCompSci

Every year SIGMOD/PODS attracts a big crowd of database experts from academia and industry. Looking for qualified experts for your company? Consider presenting yourself as a sponsor onsite. There are four tiers with different benefits to choose from 2025.sigmod.org/SIGMOD2025_Fly…

For better or worse, some quick tips on the PhD application from a faculty's perspective (N=1). eugenewu.net/tips.html

📢 I’ll be admitting PhD students to Columbia CS in the heart of NYC 🗽—the most vibrant city in the world! 🌆 If you're passionate about advancing robot learning and envision a future where robots 🤖 are part of our daily lives, apply to join my group: yunzhuli.github.io

Im excited to recruit students at the intersections of data and hci, and data systems and agents! See eugenewu.net for more info!

Really happy to invite Yongjoo Park from UIUC to virtually visit Columbia's data management seminar to talk about really nice work on checkpointing data science systems.

Planning and arguing for a project (whether a grant or paper) is hard. One reason is that writing and speaking is a linear process, while the arguments for a project is a graph. This blog post describes a mental model and its implications to writing. eugenewu.net/writing/2024/1…

🚀Join the DAPLab to make agent-based automation more accountable, reliable, and efficient. 🌐🤖 For more info on the group - columbia-dap-lab.github.io. Apply to our #computerscience PhD program bit.ly/CSPhDprogram by December 15.

We are excited to be starting a new lab that rethinks the systems, ML, and HCI stack to support agent-based automation! Columbia's PhD deadline is 12/15 -- please share with potential applicants! columbia-dap-lab.github.io

We talked about strict 2PL:

Introducing 📜DocWrangler: an open-source IDE for AI-powered data processing with built-in prompt engineering guidance and output inspection tools. Code: github.com/ucbepic/docetl Blog: data-people-group.github.io/blogs/2025/01/… Free research preview: docetl.org/playground Built @ Berkeley (1/7)

Exciting post-doc opportunity at the Columbia DAPlab, co-directed by Eugene Wu and myself! We are looking for AI Agents for Fall 2025. 🔥 Check out the details in the job post here: daplab.cs.columbia.edu/positions Please retweet 🙏 hashtag#ColumbiaUnversity hashtag#AI

Cambridge Mobile Telematics, a billion+ dollar company to make roads safer, was founded based on NSF-funded research, by Hari Balakrishnan and Sam Madden. It is one of many such examples.

Many federal-funded success stories in the data systems universe that I’m aware of, including Google (2+ T) - from Stanford - and Databricks (60B) from UC Berkeley EECS. Any of these would pay for the costs (eg all of NSF: 10B in total per year) many times over. Cost cutting in