Elman Mansimov is a Senior Applied Scientist at Amazon Web Services in New York City. He is currently working on foundation models at Amazon Bedrock. Ultimately, he aspires to make progress in natural language processing and deep learning, leading to substancial benefits for customers.

Previously, he finished his Ph.D. at New York University where he was supervised by Kyunghyun Cho. His thesis focused on iterative refinement as a general approach for structured prediction with applications to machine translation and molecule generation.

Earlier, he did an undergraduate degree in Computer Science at University of Toronto supervised by Ruslan Salakhutdinov. During that time, he worked on unsupervised learning from videos and developed one of the first text-to-image generative models.

For an up-to-date list of publications, please take a look at his Google Scholar. For an up-to-date CV, please take a look here.


Back in 2015, I created one of the first text-to-image AI models.

The story behind it was covered in this Vox video: