Max Ehrlich

Max Ehrlich is an adjunct assistant professor in the Department of Computer Science and UMIACS as well as a research scientist at NVIDIA Applied Deep Learning Research.

His research combines machine learning and computational imaging to solve real problems. Ehrlich’s focus is on breaking down and understanding the first principles of the problems, and then building those principles back up into a machine learning solution rather than treating the model as a black box.

In the past, he has successfully applied this idea to image enhancement. The broader goal of his research is to improve participation from underrepresented groups. For example, by creating better multimedia compression algorithms which incorporate simple deep learning-based techniques so that people operating in underinvested locations—such as, rural areas, Native American reservations, and developing countries—are able to participate in an increasingly media-focused internet.

Ehrlich received his doctorate in computer science from the University of Maryland in 2022. His dissertation, “The First Principles of Deep Learning and Compression,” won a Larry S. Davis Doctoral Dissertation Award.

Go here to view Ehrlich’s academic publications.