Katie M. Lewis

Katie M. Lewis received her PhD from MIT in Developing Domain-Specific Generative Models. As a research assistant, she developed the GIST method to generate fine-grained image-specific text descriptions using LLMs. She also developed a learning-based method to align sparse, clinical MRI brain scans with higher accuracy on 92% of subjects and 100x faster on the CPU. Some of her generative machine learning publications include At the Intersection of Conceptual Art and Deep Learning: The End of Signature, Generating Image-Specific Text for Fine-grained Object Classification, and Machine Learning for Healthcare (ML4H) at NeurIPS 2018. She recently defended her dissertation under the supervision of John Guttag and Frédo Durand and has interned twice with Ira Kemelmacher-Shlizerman's team at Google.