Assistant Professor @UMichCSE @michigan_AI

Ann Arbor, MI
Joined January 2011
Alexander Rodríguez retweeted
Excited to announce that Prof. @_arodriguezca is co-organizing the #KDD2026 epiDAMIK: Workshop on Data-driven Decision Making for Public and Population Health where his group is also presenting 2 papers (August 10): 👉kdd2026.kdd.org/workshops/ 👉epidamik.github.io/
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Alexander Rodríguez retweeted
We received several requests for additional time, so we are extending the deadline to May 20. Excited to see your submissions! #KDD2026 #DataScience #AI #PublicHealth
📢 CFP: epiDAMIK Workshop on AI for Public & Population Health @kdd_news (in Jeju, Korea) 📅 Deadline: May 15, 2026 We invite work on AI, data mining, and decision-making for complex health systems. 🔗 epidamik.github.io/dates.htm… #AI #datascience #PublicHealth #KDD2026
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Alexander Rodríguez retweeted
🎉 Celebrating PhD student Diana Gomez, advised by @_arodriguezca, for receiving the 2026 CSE Service Award! Diana's commitment to supporting graduate students and building a stronger @UMichCSE community makes a lasting impact.👏 #GoBlue cse.engin.umich.edu/stories/…
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Alexander Rodríguez retweeted
Thrilled that @_arodriguezca is teaching "Advanced AI topics and domain applications" at the @um_midas AI for Scientists and Engineers Summer Academy, July 27-31. Don't miss the opportunity to apply by April 29: ➡️myumi.ch/G2XEp
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Submit your work and join us this year in Jeju, Korea. Reach out with any questions.
📢 CFP: epiDAMIK Workshop on AI for Public & Population Health @kdd_news (in Jeju, Korea) 📅 Deadline: May 15, 2026 We invite work on AI, data mining, and decision-making for complex health systems. 🔗 epidamik.github.io/dates.htm… #AI #datascience #PublicHealth #KDD2026
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Alexander Rodríguez retweeted
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.
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📢 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
📢 Coming Fall 2025: The #AI for Science graduate course is back! 📘 Instructor: Prof. @_arodriguezca Cutting-edge AI meets real-world scientific challenges — don’t miss it: 👉shorturl.at/Wa8sK
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Alexander Rodríguez retweeted
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/…
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Alexander Rodríguez retweeted
🚀 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!
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Alexander Rodríguez retweeted
📌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/
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Alexander Rodríguez retweeted
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-…
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🎙️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-semin…
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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.
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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
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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-d…
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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.
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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.
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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!
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