News

  1. We present CORAL and also new KRONOS2 model for end-to-end foundation model-centric spatial proteomics analysis.

  2. Really excited to welcome Kunpeng (Eric) Zhang, an incoming Rice CS PhD student, as the second member of our lab!!

  3. Really excited to welcome Huilin Tai, an incoming Rice CS PhD student, as the first member of our lab!!

  4. We present MAMMOTH on how mixture-of-experts can slot into existing multiple instance learning frameworks for universally improving downstream task performance, which will appear in ICLR 2026!

  5. We present SEAL on how pathology foundation models can be further enhanced with the guidance of corresponding spatial transcriptomics.

  6. I have officially started as an Assistant Professor at UT MD Anderson Cancer Center!

  7. I will be an adjunct professor at Rice University CS program! Prospective graduate students interested who wants to be advised by me should apply to Ph.D. program by 1/1/2026. Current Rice graduate and undergraduate students interested in joining my lab should reach out to me directly.

  8. Our study on slide-level pathology foundation model has been published in Nature Medicine!

  9. I am thrilled to announce that I will be starting as an tenure-track assistant professor in Department of Translational Molecular Pathology/Institute of Data Science in Oncology at UT MD Anderson Cancer Center!

  10. We present CARP3D on how AI-guided triaging can enable integration of 3D pathology into standard clinical workflow.

  11. We present a systematic investigation on the transferability of pretrained multiple instance learning (MIL) models in CPath, which will appear in ICML 2025.

  12. A preprint for foundation model for spatial proteomics KRONOS is available!

  13. A preprint for AI-driven 3D spatial transcriptomics prediction VORTEX is available!

  14. A preprint for new vision-omics slide foundation model THREADS is available.

  15. A review on applications of generative AI for anatomic pathology has been published.

  16. HEST-1K (paper, code), a collections of 1,229 spatial transcriptomic profiles and morphology samples, will appear in NeurIPS 2024.

  17. A preprint for new slide foundation model TITAN is available.

  18. MADELEINE, a multstain pretraining framework for slide representaiton learning, will appear in ECCV 2024.

  19. Two preprint on AI for toxicopathology are available - 1) TRACE for preclinical drug safety assessment and 2) GEESE for morphomolecular signature discovery

  20. HEST-1k, a histology-ST dataset & benchmark, has been released

  21. Our study on 3D computational pathology for risk prediction has been published in Cell!

  22. MMP, a multimodal survival prediction framework, will appear in ICML 2024.

  23. Two main papers on slide representation learning (PANTHER, TANGLE) and one workshop paper on 3D pathology (CARP3D) will appear in CVPR 2024.

  24. Our study investigating demographic bias in pathology is published in Nature Medicine.

  25. UNI, a foundation model for histopathology is published in Nature Medicine.

  26. Our review on AI for digital and computational pathology is published Nature Reviews Bioengineering.

  27. Our study on incorporating higher-order statistical moments in computational pathology is published in MICCAI 2024.

  28. Our News & Views on importance of context for prognostic tasks is published in Nature Biomedical Engineering.

  29. I started my postdoc with Professor Faisal Mahmood at Brigham and Women’s Hospital.