Deepak Narayanan Sridharan

About

I am a first 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)
• Algorithmic Foundations of Data Science (Spring 2023, 2024)
• Deep Learning (Fall 2023)
• Computational Intelligence Lab (Spring 2023)