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Funded by the U.S. National Science Foundation and the Simons Foundation. Driving AI innovation to explore the cosmos.

Joined February 2025
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Reminder! Apply for the CosmicAI Accelerated Universe Postdoctoral Fellow position by Nov 23rd, 2026! cosmicai.org/jobs/cosmicai-a…
We're hiring! CosmicAI Accelerated Universe Postdoctoral Fellow CosmicAI seeks to hire a postdoctoral fellow to initiate a comprehensive research program exploring the surrogate modeling of astrophysical systems. cosmicai.org/jobs/cosmicai-a… @OdenInstitute @NSF @SimonsFdn
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Some recent research, event, and job highlights! Join our email list and Slack to stay tuned on upcoming events, programs, and details cosmicai.org/get-involved
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Hybrid Seminar Oct 28th Zoom/in person @NSF @TheNRAO -CosmicAI's Observable Universe Working Group -SIFARI: Neural Fields for Radio Imaging -LabelScope: Context-Aware Discovery of Label Outliers in Radio Astronomy Signals cosmicai.org/events
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Learn how CosmicAI Researchers Gazi Abdur Rakib, Tristan Ashton, Dr. Brian Mason, Dr. Ryan Loomis, Dr. Eric Murphy, Dr. Ci Xue, and Prof. Jeff Phillips explored a faster way to catch the ALMA calibration defects that current checks miss half the time ! cosmicai.org/news/regression…
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CosmicAI at Hot Science – Cool Talks at UT Austin! Emma Kathleen Nally, a researcher in Stella Offner's astronomy research group, presented an augmented reality visualization of a cluster of forming stars! 💫
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CosmicAI alum Sanjana Gautam set out to learn how researchers actually decide when to trust AI tools. Learn about the work (and Sanjana’s recommendations on using AI tools thoughtfully in early-stage scientific research) @Sanjana08395511 @MSFTResearch ischool.utexas.edu/news/what…
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Today's CosmicAI hybrid seminar with our Accelerated Universe Working Group included a 3-part talk! From astrochemical models to surrogate models (Mélisse Bonfand-Caldeira) Reduced-Order Model for Chemical Kinetics ( Arjun Vijaywargiya) Adaptive approximation (George Biros)
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CosmicAI Lightning Talk! Yiheng Su @SamSu31415 is a Ph.D. student at the School of Information at @UTAustin Listen to the talk “RELISH: LLM REgression with a Latent Iterative State Head” youtube.com/watch?v=5YvpqHmf…
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CosmicAI Hybrid Seminar Wed, Oct 14th 1pm-2pm Zoom/in person at UT Austin From astrochemical models to surrogate models (Mélisse Bonfand-Caldeira) Reduced-Order Model for Chemical Kinetics ( Arjun Vijaywargiya) Adaptive approximation (George Biros) cosmicai.org/events/astroche…
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Amazon Scholar and @UTAustin professor @mattlease explores how to harness AI for scientific discovery while assessing potential risks, drawing on work from @UTGoodSystems and @CosmicAI_Inst. Catch his Expo Talk at @COLM_conf Thursday at 1pm PT. #COLM2026
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CosmicAI team at the SciML workshop! Scientific Machine Learning (ML) is an emerging research area focused on opportunities & challenges of ML in the context of complex applications across science/engineering/medicine Host: @OdenInstitute Center for Scientific Machine Learning
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CosmicAI Co-Director @mattlease will give an @amazon Science Expo talk, entitled "Responsible AI for Science: Assessing Potential Benefits vs. Risks", this Thursday at the 2026 Conference on Language Modeling (COLM) in San Francisco!
Amazon researchers are heading to @COLM_conf in San Francisco next week with accepted publications spanning agentic AI, LLM post-training, multi-agent systems, and automated reasoning. See our research and booth schedule: amzn.to/4dcLxw9 #COLM2026
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We're hiring! CosmicAI Accelerated Universe Postdoctoral Fellow CosmicAI seeks to hire a postdoctoral fellow to initiate a comprehensive research program exploring the surrogate modeling of astrophysical systems. cosmicai.org/jobs/cosmicai-a… @OdenInstitute @NSF @SimonsFdn
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CosmicAI recent highlights 💫 @NSF @SimonsFdn
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Upcoming CosmicAI Hybrid Seminar Wed. Sept. 30th from 12pm-1pm MT (1pm-2pm CT)! Tracking Topology in Continuous Models w/ Dr. Bei Wang Phillips Advanced Neural Operators w/ Dr. Shandian Zhe Zoom and in-person at University of Utah cosmicai.org/events/shandian…
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CosmicAI researcher William Rudman explored why vision-language models hallucinate visual details of nonexistent objects to follow prompt-based information! Ablating a few attention heads cuts this prompt-induced hallucination from 64% to under 11% cosmicai.org/news/visionlang…
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