Deepak Narayanan Sridharan

About

I am a second year PhD student at ETH Zurich, fortunate to be advised by Professor David Steurer.

I am broadly interested in problems arising at the intersection of statistics and theoretical computer science. More recently, I have been thinking about robust and private statistics.

Publications

• Outlier-robust Mean Estimation near the Breakdown Point via Sum-of-Squares with Hongjie Chen and David Steurer SODA 2025 • arXiv
  Awarded ETH Medal for Outstanding Master's Thesis
• IGLU: Efficient GCN Training via Lazy Updates with Aditya Sinha, Prateek Jain, Purushottam Kar and Sundararajan Sellamanickam ICLR 2022 • arXiv

Teaching

• ETH Zurich: Algorithms and Probability (Spring 2025)
• Algorithms and Data Structures (Fall 2024, 2025)
• Algorithmic Foundations of Data Science (Spring 2023, 2024)
• Deep Learning (Fall 2023)
• Computational Intelligence Lab (Spring 2023)