Alexander Rodríguez

Prof. @_arodriguezca and PhD student Siyang Liu stopped Friday by Chelsea Retirement Center for a Q&A panel about all things #AI. Smart questions, big laughs, and proof that curiosity has no age limit.

📢 Curious how AI can enhance—rather than replace—scientific principles? Join us this fall for the second iteration of our course! Know someone who might be interested? Tag them or share this post! #AIforScience #AI4Science cc: @um_midas @UM_MICDE @UMichCSE

Michigan AI faculty Michael Wellman, Mithun Chakraborty, @_arodriguezca & @BondiElizabeth played a key role in organizing #AAMAS2025 last week, bringing together 600+ #AI researchers. A fantastic week of collaboration & cutting-edge research! 🌍🤖 cse.engin.umich.edu/stories/univer…

🚀 Day 2 of #AAMAS2025 has officially kicked off! Thrilled to announce Prof. Michael P. Wellman as the Local Chair & Mithun Chakraborty as the Local Co-chair. Ready for a day full of insights, innovation, and inspiring conversations!

📌Thrilled to announce that Profs. @_arodriguezca and @BondiElizabeth will give keynote talks at the upcoming Autonomous Agents for Social Good (#aasg2025) workshop @AAMASconf! More details: panosd.eu/aasg2025/

@huashen218 @nyushanghai @nyutandon @nyuniversity Excellent news--congrats Hua!

✨Personal Milestone✨ Thrilled to share I’ll be a tenure-track Assistant Professor in Computer Science at NYU Shanghai, affiliated with NYU Tandon, starting Fall 2025! 😊🌏@nyushanghai, @nyutandon, @nyuniversity 🧠I’ll be recruiting students via NYU Courant CS & NYU Tandon CSE working at NYC, Shanghai, or more—welcome to join us in exploring 👫-🤖human-AI alignment & interaction! → Research overview and openings on: hua-shen.org 🛩️ Heading to #ICLR2025 & #CHI2025 – love to grab a coffee together☕️👭! - I’ll be at #ICLR (4/26–4/28) — at OpenAI event on 4/26 + organizing our #BiAlign workshop on 4/28. - Then off to #CHI (4/29), hosting two sessions (writing support, human-agent collaboration) + supporting our 🔎🤖 #PromptAuditor paper. Let’s chat at #ICLR & #CHI!🤗 💗Deepest thanks to my incredible advisors @tanmit @windx0303 and committee @tongshuangwu @mbrosson —for your unwavering support through the ups and downs of my job search. I’m so grateful to the many amazing professors and friends who offered invaluable feedback and encouragement during my job preparation💕🙏! 💗I’ve been especially lucky to spend this year at @UW_iSchool and @uwresponsibleai, learning from an excellent community of faculty and students! And to brilliant collaborators in our 👫-🤖"Bidirectional Human-AI Alignment" research, all the amazing professors and students at @umsi @michigan_AI, @ISTatPENNSTATE, my intern mentors in @GoogleDeepMind and @AmazonAGI — thank you for shaping my growth and wonderful journey🙏! 💗Too many names to tag – I carry your generosity and kindness, and will do my best to pay it back and forward 💜🚀💜!

Cheers to the #AI in Science Fellow Haotian Chen (mentored by Prof. @_arodriguezca) & team fellows for being awarded $100K by the Schmidt Sciences Community Initiative Fund to organize a workshop focused on Knowledge-Guided #MachineLearning (KGML)!🎆🎊 midas.umich.edu/midas-ai-in-sc…

Topics will include time series, uncertainty quantification, and AI for science (physics-informed ML, differentiable simulators). We talk about both methodologies and real-world applications that have been successfully deployed. Join us in Zoom if you’re around.

🎙️Excited to speak today at 1 PM EST at the @ColumbiaDBMI Columbia Department of Biomedical Informatics Seminar Series! I’ll be discussing how we can integrate AI, data, and scientific models in epidemiology for public health prediction. dbmi.columbia.edu/dbmi-seminar/

cc to our team: @kaiwang_gua @AnanyaAJoshi Aparna Taneja

Some topics to cover include anomaly detection at scale, spatio-temporal ML, scientific ML, AI for agent-based models, decision-focused learning, multi-armed bandits. Keep an eye on our site for the tutorial slides! sites.google.com/view/data-driv…

Tomorrow 2/26 at #AAAI2025 we are delivering a new tutorial focused on #AI for decision making in #PublicHealth. We will talk about AI technical challenges across the entire decision making pipeline: data, prediction, decision, and deployment

🚨 Don’t miss out at #AAAI25! Join @_arodriguezca for an exclusive tutorial on Data-driven Decision-making in Public Health and its Real-world Applications.⬇️ Details: sites.google.com/view/data-driv… 👉#TH21" target="_blank" rel="nofollow noopener">aaai.org/conference/aaa…

We hope this sparks further research in #multimodal uncertainty quantification. Come see our #AAAI2025 paper a the poster session this Friday at noon! Kudos to my PhD student, Ruipu Li @RuipuL, for his excellent work on his first PhD project!

We design new control-inspired loss functions to enable the NN to effectively act as a controller for the intervals while ensuring theoretical coverage guarantees. Once the NN functions as a controller, we can integrate multiple data modalities to further enhance UQ.

Come see our #AAAI2025 paper at the poster session this Friday at noon! 📑 arxiv.org/pdf/2412.18144 Our work shows that NNs can effectively adapt predictive intervals in #ConformalPrediction for #TimeSeries from a control perspective + incorporate #multimodal data.

@proneat @UMich @michigan_AI @mbzuai @mitidss Praneeth, it was really great getting to know more about your work. Thanks so much for visiting us!

Join us tonight!