Wei Qiu (@weiqiu55) / X

Wei Qiu

88 posts

Wei Qiu

@weiqiu55

Assistant Professor @RiceECE, PhD student at @uwcse @suinleelab working on AI for Biomedicine

Seattle, WA

Joined June 2020

Pinned
Wei Qiu
@weiqiu55
Sep 13, 2025
📢🌟Thrilled to announce that I will be joining 🦉 @RiceUniversity @RiceECE @RiceEngineering as an Assistant Professor in Jan 2026! My group will focus on AI for Biomedicine: aging & age-related disease, foundation models & XAI. Details 👉 qiuweipku.github.io
Rice Engineering and Computing
@RiceEngineering
Aug 4, 2025
We are thrilled to announce the appointments of 20 new faculty who will expand our expertise in health and well-being, energy and sustainability, resilient and adaptive communities, advanced materials, and future computing. #SolvingForGreaterGood bit.ly/3ISVHpx
7.2K
Wei Qiu
@weiqiu55
Jan 19, 2025
📢I am on the academic job market this year! My research interest involves utilizing AI and explainable AI to explore the mechanisms of aging and age-related diseases. I'm looking for faculty positions in AI for Biomedicine. Check out my website: qiuweipku.github.io
Su-In Lee
@suinleelab
Jan 19, 2025
Honored to work with the exceptional @weiqiu55 @uwcse student and brilliant co-senior author @naxerova @harvardmed! I still can’t believe I have the privilege of collaborating with these outstanding individuals! nature.com/articles/s4155… @weiqiu55 is on the academic job market!
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Wei Qiu
@weiqiu55
Dec 12, 2023
🎉Excited to share our latest publication in The Lancet Healthy Longevity! Introducing ENABL Age, a framework that merges advanced ML models with explainable AI (XAI) to estimate biological age with precision and individualized explanations. 🕒 (1/n)
thelancet.com
ExplaiNAble BioLogical Age (ENABL Age): an artificial intelligence framework for interpretable...
ENABL Age brings an important leap forward in the application of XAI for interpreting biological age clocks. ENABL Age also carries substantial potential in practical settings, assisting medical...
5.8K
Wei Qiu
@weiqiu55
Dec 18, 2024
📢 Super excited to share our DeepProfile paper is published today by @natBME! Check it out here! nature.com/articles/s4155…
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Wei Qiu
@weiqiu55
Apr 9, 2024
My first paper in aging research! The beginning of a journey dedicated to unlocking the mysteries of aging. Eager to delve deeper and contribute more fantastic research to this fascinating field with @suinleelab
news-medical.net
Unlocking secrets of aging: ENABL age offers detailed, individualized aging profiles using cuttin...
Combining machine learning with explainable artificial intelligence (XAI) to predict biological age with personalized explanations.
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Wei Qiu
@weiqiu55
Nov 7, 2023
Replying to @suinleelab @uwcse and 2 others
Thank you, Su-In, for your guidance and support!
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Wei Qiu
@weiqiu55
Oct 7, 2022
Excited to share our new work! We present the IMPACT framework, which combines a complex ML model and a state-of-the-art XAI technique to predict all-cause mortality and conduct a systematic and integrated study of the relationships among variables and all-cause mortality. (1/n)
Su-In Lee
@suinleelab
Oct 6, 2022
Explainable AI can predict your chance of all-cause mortality (or general health status) and explain to you why the prediction was made. Check out my incredible @uwcse PhD student @weiqiu55's work, recently published in Nature Communications Medicine! nature.com/articles/s4385…
Wei Qiu
@weiqiu55
Mar 19, 2021
My first preprint in @suinleelab! We present IMPACT, a framework that combines complex ML model and explainability method to understand complex interrelations between mortality and individual's features. Really appreciate Prof. Kaeberlein's advice and encouragement!!
Matt Kaeberlein
@mkaeberlein
Mar 19, 2021
Check out this super-cool preprint on AI approaches to predicting mortality from @suinleelab. I seriously need about a week to do a really deep dive on this. Interpretable machine learning prediction of all-cause mortality medrxiv.org/content/10.110…
Wei Qiu
@weiqiu55
May 29, 2024
Thrilled to contribute to this innovative research with @suinleelab and @mkaeberlein! It's amazing to see our research come to life in such an impactful way through the @NovosLabs app. Excited for everyone to explore their biological age and empower their journey to wellness!
Diogo Barardo, Geroscientist
@BarardoD
May 29, 2024
🚀 Exciting news! @suinleelab, @mkaeberlein, and @weiqiu55's groundbreaking research has led to @NovosLabs' free non-invasive and state-of-the-art AI-driven biological age test. Now, anyone can gain accurate longevity insights through a simple questionnaire and the free NOVOS
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Wei Qiu
@weiqiu55
May 29, 2024
Excited to see our research supporting the launch of the free AI-based biological age test in the @novoslabs Life app. Check out the new features for personalized insights and guidance! Read our paper for more details:
Longevity Technology
@LongevityTech
May 29, 2024
NOVOS launches free AI-based biological age test New test available in @NovosLabs Life app boasts personalized features, including Lifestyle score, recommendations and AI chat guidance. @SlowMyAge #diagnostics #AI #biologicalage #app #longevity longevity.technology/news/novos-lau…
thelancet.com
ExplaiNAble BioLogical Age (ENABL Age): an artificial intelligence framework for interpretable...
ENABL Age brings an important leap forward in the application of XAI for interpreting biological age clocks. ENABL Age also carries substantial potential in practical settings, assisting medical...
624
Wei Qiu
@weiqiu55
Nov 8, 2023
Replying to @mkaeberlein and @suinleelab
I'm deeply grateful for the opportunity to collaborate with you! Your expertise has been pivotal in our work. Su-In and your guidance sparked my journey into aging research. Excited for what we'll discover next!
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Wei Qiu
@weiqiu55
Dec 18, 2024
Our study uncovered many exciting biological findings—be sure to check it out to learn more!
Eric Topol
@EricTopol
Dec 17, 2024
Unsupervised deep learning of gene expression patterns across 18 types of cancer reveals insights on immune pathways and clinical outcomes nature.com/articles/s4155… @natBME @suinleelab
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Wei Qiu
@weiqiu55
Jan 19, 2025
Replying to @suinleelab @uwcse and 2 others
Thank you so much, Su-In!
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Wei Qiu
@weiqiu55
Dec 18, 2024
Replying to @weiqiu55 and @natBME
We developed an unsupervised deep learning framework for the generation of low-dimensional latent spaces and applied it to gene expression data from 50,211 transcriptomes across 18 human cancers. 1/4
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