🎉 🎊 Congratulations to our superstar
@anurag_vaidya7 on successfully defending his PhD at
@mit_hst! 🎓
During his PhD Anurag led an extraordinary body of work spanning multimodal outcome prediction (SurvPath, CVPR 2024), a landmark audit of demographic bias in computational pathology (Nature Medicine, 2024), and multiple foundation models that have pushed the field forward: MADELEINE (ECCV 2025), THREADS (Nature Cancer, 2026, to appear), and KRONOS. A unifying idea behind much of this work: biology is a powerful learning signal.
It has been a privilege to advise
@anurag_vaidya7 and to watch him grow into an independent scientist. Proud of all he has accomplished, and excited for what comes next.