Rohan Varma

Background

About Rohan Varma

Artificial Intelligence/ Machine Learning/ Cheminformatics/Molecular Machine Learning for Drug DiscoveryI am broadly interested in machine (deep) learning, signal processing and interdisciplinary work drawing from tools in statistics and optimization. I am particularly interested in areas like semi-supervised learning, self-supervised learning, transfer learning, computer vision and perception.I completed my Ph.D in Electrical and Computer Engineering at Carnegie Mellon University. I worked on topics in signal processing and machine learning. My thesis revolves around graph signal processing, graph-augmented machine learning and the semi-supervised and active sampling and reconstruction of graph-structured data.Previously, I graduated from the University of California, Berkeley with majors in Electrical Engineering & Computer Sciences, Economics and Statistics.