Master’s Student in Computer Science at NYU Courant

Skanda Shreesha Prasad

I build self-supervised world models and representation learning systems for physical, visual, and scientific data.

My work focuses on JEPA-style learning, hierarchical world models, computer vision, autonomous systems, and scientific machine learning.

About

Research-oriented machine learning profile with emphasis on self-supervised learning and scientific applications.

Self-supervised latent prediction on active matter simulation videos.

Hierarchy from unresolved predictive structure across time.

NYU Deep Learning Course Project (2026)

For research collaboration, graduate opportunities, and ML engineering roles.