Manish Krishan Lal

I am a postdoctoral researcher in AI at the Technical University of Munich, hosted at the Chair of Resource-Aware Machine Learning under the mentorship of Suvrit Sra. I received my PhD in Mathematics from the University of British Columbia, where my research focused on projection methods for learning, sampling, and inference. I was fortunate to be advised by Heinz Bauschke and Xianfu Wang.

My research studies variational and constrained formulations for learning, with emphasis on structure, and stability. I am interested in settings with long horizons, multiple solution paths, and mixed representations, particularly in scientific and generative applications.