Hi, I'm Shobhit 👋
student @ stanford · builder · researcher · full-stack developer
I study CS & Math at Stanford. Currently, I help organize TreeHacks, the largest collegiate hackathon in the world, conduct healthcare-AI research at Harvard & SAIL, build AI infra at BeHeard Labs, and TA for CS106A and CS106B. Previously, I was an ML Engineering intern at Ambience, AMP Fellow at Jane Street, and researcher at DFCI.
Featured Work
Representing visual classification as a linear combination of words
Developed novel approach to explain joint-embedding models on the task-level. Presented at ML4H 2023 & published in Proceedings of Machine Learning Research.
Self-supervised deep learning to predict molecular markers from routine histopathology slides for high-grade glioma tumors
Built self-supervised DL pipeline to a) segment WSI into patches, b) create multi-magnification embeddings, and c) perform WSI-level classification of IDH Mutation & MGMT Methylation status.
Get in Touch
Feel free to reach out at:
shobhit.agarwal@stanford.edu