Staff Machine Learning Scientist
Current* Developed Foundation Models for drug imaging data that has 5x improvement over off-the-shelf models* AI features (embeddings) for Drug Similarity and Toxicity screens used by several big pharma* Identify prototype single cells for drug phenotypes and MoAs * Developed and published methods for removing confounders in medical imaging* Designed and implemented various similarity features for Spring Science App used by biologists and data scientists* Developed efficient backend for embedding generation for billions of cells to enable biologists to use SOTA AI* Worked directly with customers to understand their pain points and implement novel technical solutions* Implemented POCs for virtual staining, multimodal feature fusion, 3D segmentation under a week
