Adarsh Prasad


I am a graduate student(PhD) in the Machine Learning Department at Carnegie Mellon University, where I am advised by Pradeep Ravikumar and Sivaraman Balakrishnan. Previously, I got my Bachelors degree in Electrical Engineering at IIT Delhi. While at IIT, I worked with Manik Varma on Sparse Multilabel Learning.

I am broadly interested in statistical machine learning, high-dimensional statistics and optimization. Most recently, I have been working on computationally efficient methods for robust statistics, and their application to safe and reliable machine learning. My PhD is generously supported by JP Morgan AI Research PhD Fellowship.

Apart from theoretical research, I enjoy working with real-world data, particularly noisy data. I represented CMU at Citadel Datathon Finals, and have spent some time interning in quantitative trading at Cubist Systematic Strategies. I am also an avid squash player.

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