Assistant Professor at Virginia Tech

Joined September 2021
🚨You may already know or you may not know yet, but a new variant of Hantavirus has spread for weeks on a cruise on the Atlantic🚢with 8 cases already identified and 3 cases already dead🦠. Will this become the next COVID?😷 📢 I am excited to share our latest preprint (1/4)
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💡 Our findings highlight the urgent need for widespread testing and active monitoring of exposed passengers in confined travel settings to prevent sustained transmission. 🛡️ 🔗 Read the full paper on arXiv here: arxiv.org/pdf/2605.07498 (4/4)
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⚠️ Relying solely on symptom-based surveillance is not enough - our model shows that several exposed individuals remain undetected during the early outbreak phase, creating a hidden reservoir for the virus. 🕵️‍♂️ (3/4)
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where we developed a stochastic SEIRD model to estimate the hidden transmission dynamics aboard the ship. 📊 🔍 Key findings from our early analysis: 📈 We estimate a basic reproduction number (R0) of 2.76 (95% CI: 2.52-2.99) on the ship. (2/4)
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Our initial work on bridging LLM-based multi-agent systems with well-established mechanistic modeling frameworks. Proposing directions in combining the flexibility of ML for individual-level data with the explainability and reliability of mechanistic models.
🚀 Introducing PhysicsAgentABM! We propose a novel Physics-Guided Generative Agent Based Modeling framework for scalable and calibrated simulation of complex social systems! ⚡ 6.7x fewer API calls, 2.1-3.4x cost reduction 🎯 Superior temporal accuracy across all domains (EETE, ET-F1) 📊 Calibrated uncertainty (near-diagonal reliability curves) 🔄 Robust to regime shifts (policy shocks, market crashes, viral events) Huge kudos to my collaborator @inhan_y , Prof. @LiJundong and my advisor @jiamingcui1997!
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We’ll be giving a tutorial on “AI-Driven Multimodal Frameworks for Healthcare Decision-Making” at ICDM 2025! @jiamingcui1997,@xwang174,@zhezeng0908,@du_hongru Time & Location: Thursday, Nov 13, 10:30 AM – 12:30 PM, Ohio Room Looking forward to connecting with many of you there!
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Jiaming Cui retweeted
I am at #ICML24 all week. Catch me at my poster session: What: Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning When: Wed 24 Jul 11:30 a.m. — 1 p.m. CEST Where: Hall C 4-9 #2200 Paper: proceedings.mlr.press/v235/l… Code: github.com/AdityaLab/FOIL
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Catch Haoxin @icmlconf 2024 in Vienna, presenting our work on out of distribution generalization (OOD) in time-series forecasting. Get OOD robustness for *any* forecasting method via invariant learning using FOIL, our new model agnostic framework! github.com/AdityaLab/FOIL @GTCSE
I am at #ICML24 all week. Catch me at my poster session: What: Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning When: Wed 24 Jul 11:30 a.m. — 1 p.m. CEST Where: Hall C 4-9 #2200 Paper: proceedings.mlr.press/v235/l… Code: github.com/AdityaLab/FOIL
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(1/3) Thank you @badityap, and all my committee members (Anil Vullikanti, @srijankedia, @XiuweiZhang, @PKeskinocak). Really happy to pass the defense and become Dr. Cui. @GTCSE @gtcomputing @mlatgt
(1/3): Congrats to Dr. @jiamingcui1997 who just defended his thesis on cutting edge ML and Epi Models for surveillance&control in clinical settings!! Pleasure advising and learning with+from you. Next: Asst. Prof. @VT_CS after a short stay @UVA_BI 🥳🎉 @GTCSE @gtcomputing @mlatgt
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(2/3) I also want to thank my labmates, collaborators, and friends (@bijayaAdh, @_arodriguezca, @konglingkai_AI, @JackHeavey , @hankyu_jang, @Harsha_64, @leozhao_zhiyuan, @HessianLiu) who helped me a lot during my Ph.D. journey.
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(3/3) Looking forward to the new life at @UVA_BI and @VT_CS.
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1/3 I am excited to share that I will join @virginia_tech CS @VT_CS as a tenure-track assistant professor starting from Spring 2025. I will continue my research in machine learning and modeling, aiming to bridge public health and clinical decisions! @GTCSE @mlatgt @gtcomputing
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Thank you, everyone!
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2/3 Thanks to my advisor @badityap, and the mentors and friends who helped me in the job search. Partial list: Anil Vullikanti, @bijayaAdh, @_arodriguezca, @Kong_GT
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3/3 I am actively seeking PhD students to join my research group at @VT_CS. Please feel free to reach out to me or help me spread the message. Looking forward to the new adventure.
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We're excited to announce that the Epi meets Data workshop will be held in conjunction with @kdd_news 2024 in Barcelona! We invite submissions of both short and full papers. Make sure to submit by May 28. #KDD2024 #ML #AI #DataScience #PublicHealth #epidemiology 1/3
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Thanks for the award, I am really excited to receive it. I also want to thank my advisor @badityap and collaborators @ Vivek Anand @JackHeavey @AnilVullikanti @GTCSE @gtcomputing @UVA_BI. Paper: sites.cc.gatech.edu/~jcui75/… Code: github.com/AdityaLab/H2ABM.
#SIAMSDM24 Best Poster Award: H^2ABM: Heterogeneous Agent-based model on Hypergraphs to Capture Group Interactions. Congratulations to the authors!
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We will present our new @SIAMDataMining paper “H2ABM: Heterogeneous Agent-based Model on Hypergraphs to Capture Group Interactions” on Friday, April 19 (meetings.siam.org/sess/dsp_t…). 1/3
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We introduce the idea of hypergraphs into complex agent based models for epidemics and use it for real-world healthcare-associated infection MRSA outbreaks in hospitals - better explanations of past spread and better forecasting as well! Welcome to attend & discuss with us! 2/3
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Joint work with my advisor @badityap and collaborators @ VivekAnand @JackHeavey @AnilVullikanti @GTCSE @gtcomputing @UVA_BI. Paper: sites.cc.gatech.edu/~jcui75/… Code: github.com/AdityaLab/H2ABM. 3/3
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