I am broadly interested in theory-driven deep learning applications. 

Currently I'm working on improving generative models, particularly diffusion models, under the manifold hypothesis.

I completed my PhD at the Faculty of Computer Science at the Technion focused on deep learning and statistical methods for high-resolution medical images and molecular measurements. I then worked as a postdoctoral research assistant where I found myself drawn towards generative models due their strong theoretical backing. This led me to develop a new class of generative models -- Generative Topological Networks -- which I will continue to explore alongside other generative approaches. 

For the most up-to-date information, best to visit: https://alonalj.github.io/ or find me on linkedin.