JHU Computer Science
@JHUCompSci
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A diverse and collaborative community on the cutting edge of computing and technology within @HopkinsEngineer at @JohnsHopkins. https://t.co/3hwXFTdGyw
Baltimore, MD
Joined July 2014
Fascinating snapshot of AI’s impact in scientific writing/reviewing from this ICLR cycle: (1) More AI in the writing correlates with *lower* review scores. (2) More AI in the reviews correlates with *higher* scores. Lots of room to improve our tech tools (and our habits!)
ICLR authors, want to check if your reviews are likely AI generated? ICLR reviewers, want to check if your paper is likely AI generated? Here are AI detection results for every ICLR paper and review from @pangramlabs! It seems that ~21% of reviews may be AI?
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By integrating LLMs, a @JHUCompSci team built a conversational robot that handles interruptions like humans do—acknowledging quick agreements, answering clarifying questions, and pushing back when necessary. Uncovering the interrupter’s intent is key.
engineering.jhu.edu
Johns Hopkins computer scientists designed an interruption handling system to facilitate more natural conversations with social robots.
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Digital twins for the win! Led by @MathiasUnberath, researchers in the @arcade_jhu Lab (like @yiqingsh, @Charlie92626995, @jlporrasMD, & more) are exploring the use of #digitaltwins to improve surgical workflows. Learn more:
cs.jhu.edu
Researchers in the Johns Hopkins Advanced Robotics and Computationally AugmenteD Environments Lab are exploring the use of digital twins to improve surgical workflows.
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Researchers like @alexisjbattle and @MathiasUnberath are fine-tuning a large language model using structured electronic health record data to learn patterns that will allow it to predict later diagnoses, treatments, and test results.
@JohnsHopkins, @HopkinsMedicine, @hopkinskimmel & @HopkinsEngineer are part of the Cancer AI Alliance (CAIA), using #AI to predict outcomes, individualize treatment, and protect patient privacy, transforming how cancer is understood and treated. https://t.co/jfgbBtkXPM
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In the Magazine: Progress in Action! The latest updates on our Data Science and AI Institute, including @mdredze being named Executive Director, faculty hiring updates, and building timeline.
engineering.jhu.edu
The Data Science and AI Institute unites experts across disciplines to leverage the opportunities of accessible AI.
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Congratulations to @TomLippincott, who’s been selected as a 2025 Humanities and AI Virtual Institute (HAVI) awardee by @SchmidtSciences! He and his collaborators will develop an #AI toolkit to help scholars analyze hierarchical patterns in language and music. Learn more below:
JUST ANNOUNCED: Schmidt Sciences has awarded $11M to 23 teams globally for our Humanities and AI Virtual Institute (HAVI). These projects bring AI to history, archaeology, literature, and film, unlocking new understandings of human culture. Learn more: https://t.co/D7moTmzxHR
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Congratulations to @StevenSalzberg1 and @mike_schatz on being named to @Clarivate’s Highly Cited Researchers list for the 5th year in a row! The annual list recognizes researchers whose publications rank in the top 1% of citations.
cs.jhu.edu
The annual list compiled by Clarivate Analytics recognizes researchers whose publications rank in the top 1% of citations.
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Take a break from studying and test your Wordle skills with a Wheel of Fortune! tournament tomorrow from 6–8 p.m. in Room 213 of the Bloomberg Student Center! Sign up now to play against other students and the AI bots they developed over the fall semester: https://t.co/nD0vUgG3Lp
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Detection of Tumors from Computed Tomography Scans Early and Pre-diagnostic https://t.co/CjOmkhDwva
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As part of @CAIAorg, researchers like @alexisjbattle and @MathiasUnberath are using #AI to predict outcomes, individualize treatment, and protect patient privacy, transforming how cancer is understood and treated. Learn more:
cs.jhu.edu
The researchers are using AI to predict outcomes, individualize treatment, and protect patient privacy, transforming how cancer is understood and treated.
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In @eLife, our OpenSpliceAI paper, led by @KuanHaoChao, is now 'official' though it's been online since July. If you want to enjoy the reviewers' comments and our responses, check it out at: https://t.co/Jv7DfmClBa
elifesciences.org
OpenSpliceAI is an open, retrainable framework for splice site prediction that enables rapid, memory-efficient, cross-species analyses at scale with accuracy comparable to SpliceAI.
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Johns Hopkins is one of nine universities selected for Amazon’s new AI PhD Fellowship Program, supporting cutting-edge research in machine learning, computer vision, and more. In its inaugural year, the program will support seven @HopkinsEngineer PhD students in advancing the
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Can we trust Large AI Models in healthcare if they perpetuate systemic inequities? 🏥🤖 Introducing a comprehensive survey on Medical AI Bias, organizing 55 representative studies to bridge the gap between computer science, sociology, and clinical medicine. Dual Taxonomy of
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In Fall 2026, I will begin a tenure-track faculty position @JHUCompSci Announcing the SciPhy lab, where we will study the science of physical agents (robots) We are now recruiting our first cohort of PhD students. If this is you, see https://t.co/heSKsCbWz7
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Don’t miss it—co-organized by @tianminshu!
🔥 We are pleased to announce the talk title for our #LAW2025 #NeurIPS workshop Join us on 📅Sunday, Dec 7th in📍Upper Level Ballroom 20D Full schedule here: https://t.co/70KMNl2GVG We look forward to seeing you all this Sunday! #NeurIPS2025 #AI #ML #WorldModel #Agents #LLMs
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Featuring JHU postdoc @pedrorasb!
Journal Club Alert! ‼️ We’re excited to invite you to our next session, led by Pedro Bassi (Johns Hopkins University). 📅 December 6th 🕒 12:00 pm EST / 06:00 pm CEST
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