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Cathy Wu
Cathy Wu
@cathywu.bsky.social
AI & Transportation | MIT Associate Professor Interests: AI for good, sociotechnical systems, machine learning, optimization, reinforcement learning, public policy, gov tech, open science. Science is messy and beautiful. http://www.wucathy.com
1.7K followers621 following196 posts
I am happy to announce that for the first time my group is participating in the MIT-UF-NEU 2026 Joint Summer Research Camp. Applications are open until April 17. More info in thread and here: www.wucathy.com/prospective/
Interviews will be held from April 18 to 30, and the program will run from late May to early September. More information and application can be found here, including mentors and specific research topic areas from my group: www.wucathy.com/prospective/
I am happy to announce that for the first time my group is participating in the MIT-UF-NEU 2026 Joint Summer Research Camp. Applications are open until April 17. More info in thread and here: www.wucathy.com/prospective/
MIT News: news.mit.edu/2026/ai-syst... Paper (JAIR): jair.org/index.php/ja... Code: github.com/MikeZheng777...
Cathy Wu reposted
Replying to @davidzipper.bsky.social
MIT prof @cathywu.bsky.social suspected that nav apps inaccurately calculate “time to arrive,” esp re: parking. In a new paper, she and colleagues built a model to direct urban drivers to garages that best balance proximity and likelihood of an open spot. Result: Drivers could save up to 35 min.
Great fun (and great exercise) this morning with Omar shoveling out the driveway. * Sorry to explain the reference, but friends will know that I've been very interested in eco-driving and its policy implications. news.mit.edu/2025/eco-dri...
There is a mention of it as late as Nov 2024: www.theverge.com/24295933/blu...
Cathy Wu reposted
New research from @cathywu.bsky.social et al. confirms something I've long suspected: Navigation apps could save their users a lot of time — and tilt travel decisions toward transit and biking — if they showed users how long it takes to find parking.
More here: news.mit.edu/2026/parking.... Paper: arxiv.org/abs/2601.00521 Code: github.com/chickert/Pro... Joint work with lead author Cameron Hickert, Sirui Li, Zhengbing He #transportation #multimodal #parking #navigation #dynamicprogramming
📣 𝗣𝗼𝘀𝘁𝗱𝗼𝗰 𝗼𝗽𝗲𝗻𝗶𝗻𝗴𝘀 𝗶𝗻 𝗺𝘆 𝗴𝗿𝗼𝘂𝗽! I’m looking to hire 𝟭–𝟮 𝗽𝗼𝘀𝘁𝗱𝗼𝗰𝘀 to work with us across the group’s research areas, including: 🤖 Deep reinforcement learning 🚦 Traffic modeling & control 🧠 Neural combinatorial optimization
Join us in our mission to use 𝗔𝗜/𝗠𝗟 𝘁𝗼 𝘁𝗮𝗰𝗸𝗹𝗲 𝗵𝗮𝗿𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 and to enable 𝗯𝗲𝘁𝘁𝗲𝗿, 𝗲𝘃𝗶𝗱𝗲𝗻𝗰𝗲-𝗱𝗿𝗶𝘃𝗲𝗻 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝗶𝗻 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝘀𝗼𝗰𝗶𝗼𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. 🗓️ Applications are reviewed 𝗼𝗻 𝗮 𝗿𝗼𝗹𝗹𝗶𝗻𝗴 𝗯𝗮𝘀𝗶𝘀, starting immediately. 🔗 Details + how to apply: cathywu.github.io/prospective
Cathy Wu reposted
I'm gearing up for next week's Hype Studies conference in Barcelona, so I'm thinking about this stuff a lot. @davekarpf.bsky.social makes some great points here, but there's a 'Yes and...'
🔥 New workshop at @neuripsconf.bsky.social! DiffCoALG bridges the gap between classic algorithms & differentiable learning. Think: LLM reasoning, routing, SAT, MIP — neurally optimized. 📌 Submit by Aug 22! 🤖🧠 🔗 sites.google.com/view/diffcoa... #NeurIPS2025
Website: vindulamj.github.io/eco-drive/ Published paper: www.sciencedirect.com/science/arti... Pre-print: arxiv.org/abs/2408.05609
This work would not have been possible without lead author @vindulaj.bsky.social and collaborators Baptiste Freydt, Ao Qu, Cameron Hickert, Edgar Sanchez, Catherine Tang, Mark Taylor, Blaine Leonard, as well as the financial support of UDOT, NSF, and Amazon AWS, and support from MIT SuperCloud.
MIT News article: news.mit.edu/2025/eco-dri...
Cathy Wu reposted
A new study led by Prof. Cathy Wu and colleagues reveals that eco-driving measures, such as dynamically adjusting vehicle speeds to reduce stopping and excessive acceleration, can cut carbon emissions between 11 and 22 percent. news.mit.edu/2025/eco-dri...
We’ve got an awesome workshop tomorrow at RLC on real-world RL! Also, I’m moderating the panel, so let me know if you have questions about applying RL. 🤖🧠🤖
📍 The RL4RS Workshop is happening tomorrow at University of Alberta, as part of @rl-conference.bsky.social. Join us for a focused day on real-world applications of Reinforcement Learning. 🗓️ Full Schedule: rl4rs.github.io/RL4RS/schedu... We hope to see you there.
Cathy Wu reposted
Propose some socials for RLC! Research topics, affinity groups, niche interests, whatever comes to mind! rl-conference.cc/call_for_soc...
Cathy Wu reposted
Cathy Wu reposted
Hiring a postdoc to scale up and deploy RL-based planning onto some self-driving cars! We'll be building on arxiv.org/abs/2502.03349 and learn what the limits and challenges of RL planning are. Shoot me a message if interested and help spread the word please! Full posting to come in a bit.
This is soooooo fun and so blazingly fast.
Obsidian 1.9.2 (early access) is available with improvements for Bases: - Formula syntax is more expressive and powerful. - Added number of results in the current view. - Table cells with long text expand to show the entire content when selected. - Operator dropdown for filters is now searchable.
Feeling like a fish learning about water. Insightful thread
Because science typically has practical aims, the standards of good science need to go *beyond* truth. Just exemplifying those epistemic values at the top of the thread isn't good enough. Science should be "fit-for-purpose." 6/ link.springer.com/10.1007/s131...
Cathy Wu reposted
Science is a journey not a destination.
Lastly to round up the 🧵: Science works doesn't mean every scientific study produces a fact ready for public consumption. Scientific work is incremental, iterative, nonlinear, slow, imperfect, relentless. Continuous improvement upon what was. Science works not despite but because of many failures.
Cathy Wu reposted
As citizens concerned about the future #STEM #workforce, we want to hear stories and impacts of #federal #funding cuts on early career #scientists. Take the surveys by June 6! @scienceforgood.bsky.social @jpflores.rbind.io Impacts survey: bit.ly/3Z1aFPj Stories survey: bit.ly/3Sghx7R #savescience