Andrew H. Song

Assistant Professor, The University of Texas MD Anderson Cancer Center

Joined

April 2021

Names

Andrew H. Song (Preferred)

Andrew Song

Emails

****@mit.edu (Confirmed)

****@bwh.harvard.edu (Confirmed)

****@mdanderson.org (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Assistant Professor

The University of Texas MD Anderson Cancer Center (mdanderson.org)

2026 – Present

Postdoc

Brigham and Women's hospital (bwh.harvard.edu)

2022 – 2025

PhD student

Massachusetts Institute of Technology (mit.edu)

2016 – 2021

Advisors, Relations & Conflicts

Postdoc Advisor

Faisal Mahmood

2022 – 2025

Expertise

computational pathology/biology

medical image

2022 – Present

timeseries analysis

2016 – 2021

Publications

Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning
Daniel Shao, Joel Runevic, Richard J. Chen, Drew FK Williamson, Ahrong Kim, Andrew H. Song, Faisal Mahmood
- ICLR 2026 Poster
- Readers: Everyone
Multimodal Whole Slide Foundation Model for Pathology
Anurag Jayant Vaidya, Tong Ding, Sophia J. Wagner, Andrew H. Song, Faisal Mahmood
- in review
- Readers: Everyone
Do Multiple Instance Learning Models Transfer?
Daniel Shao, Richard J. Chen, Andrew H. Song, Joel Runevic, Ming Y. Lu, Tong Ding, Faisal Mahmood
- ICML 2025 spotlightposter
- Readers: Everyone
Towards a general-purpose foundation model for computational pathology
Richard J. Chen, Tong Ding, Ming Y. Lu, Drew FK Williamson, Guillaume Jaume, Andrew H. Song, Bowen Chen, Andrew Zhang, Muhammad Shaban, Lukas Oldenburg, Luca Leon Weishaupt, Anurag Jayant Vaidya, Long Phi Le, Sharifa Sahai, Faisal Mahmood
- Nature Medicine 2024
- Readers: Everyone
Multistain Pretraining for Slide Representation Learning in Pathology
Anurag Jayant Vaidya, Guillaume Jaume, Andrew H. Song, Richard J. Chen, Faisal Mahmood
- ECCV
- Readers: Everyone
HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis
Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro Pérez, Sophia J Wagner, Anurag Jayant Vaidya, Richard J. Chen, Drew FK Williamson, Ahrong Kim, Faisal Mahmood
- NeurIPS 2024 Track Datasets and Benchmarks Spotlight
- Readers: Everyone
Multimodal Prototyping for cancer survival prediction
Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag Jayant Vaidya, Alexander Baras, Faisal Mahmood
- ICML 2024 Poster
- Readers: Everyone
A General-Purpose Self-Supervised Model for Computational Pathology
Richard J. Chen, Tong Ding, Ming Y. Lu, Drew F. K. Williamson, Guillaume Jaume, Bowen Chen, Andrew Zhang, Daniel Shao, Andrew H. Song, Muhammad Shaban, Mane Williams, Anurag Vaidya, Sharifa Sahai, Lukas Oldenburg, Luca L. Weishaupt, Judy J. Wang, Walt Williams, Long Phi Le, Georg Gerber, Faisal Mahmood
- Published: 01 Jan 2023, Last Modified: 22 Sept 2023
- CoRR 2023
- Readers: Everyone
Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples
Andrew H. Song, Mane Williams, Drew F. K. Williamson, Guillaume Jaume, Andrew Zhang, Bowen Chen, Robert Serafin, Jonathan T. C. Liu, Alexander S. Baras, Anil V. Parwani, Faisal Mahmood
- Published: 01 Jan 2023, Last Modified: 29 Sept 2023
- CoRR 2023
- Readers: Everyone
Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling
Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
- 2022 (modified: 28 Oct 2022)
- MICCAI (2) 2022
- Readers: Everyone

View all 31 publications

Co-Authors

View all 52 co-authors