Andrew H. Song

@GreatAndrew90

Assistant Professor @MDAndersonNews, Adjunct Professor @RiceCompSci | Postdoc @AI4Pathology and @BrighamWomens & Ph.D. @MITEECS

Houston, TX

andrewhsong.com

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Andrew H. Song
@GreatAndrew90
Oct 14, 2025
🚨 We are looking for talented and highly-motivated postdoctoral fellows, graduate and undergraduate students to join our new lab (starting in January of 2026) @MDAndersonNews! Please check out my website (andrewhsong.com) for detailed instructions on applying!
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Andrew H. Song
@GreatAndrew90
Sep 2, 2025
😎I am thrilled to share that I will be starting as an Assistant Professor of the Department of Translational Molecular Pathology and Institute for Data Science in Oncology at @MDAndersonnews, beginning January 1st, 2026!!!
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Andrew H. Song
@GreatAndrew90
Jun 11, 2025
Check out our latest work on deriving crucial insights for transferability of multiple instance learning (MIL) models in #computationalpathology to be presented in @icmlconf (Spotlight)! Kudos to @Daniel__Shao who led the study 😎
Faisal Mahmood
@AI4Pathology
Jun 11, 2025
📣 Excited to share our new ICML 2025 Spotlight article, “Do Multiple Instance Learning Models Transfer?” – addressing a foundational questions for building robust and generalizable MIL models. Read the article: arxiv.org/pdf/2506.09022 👉Enhanced Performance & Robustness:
Andrew H. Song
@GreatAndrew90
Feb 26, 2025
Today, I am very excited to announce AI-driven 3D ST prediction framework, VORTEX, that have been in works for the past few years! This is a beautiful multimodal extension of TriPath, AI-driven patient prognosis for 3D pathology that was published in Cell last year!
Faisal Mahmood
@AI4Pathology
Feb 26, 2025
⚡🎉 We are thrilled to introduce VORTEX, an AI-powered computational framework for predicting 3D Spatial Transcriptomics (ST) using 3D tissue images and minimal 2D ST! 🧬 By combining cutting-edge 3D non-destructive tissue imaging with AI, VORTEX imputes the 3D molecular
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Andrew H. Song
@GreatAndrew90
Nov 19, 2024
Thanks for having me! @JHUECE #computationalpathology
From AI to Cancer pathology: Andrew Song’s path to AI-enhanced cancer diagnostics
From jhunewsletter.com
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