I am a fourth year PhD in the Department of Statistics and Data Science at Yale University, advised by Ilias Zadik. I recived my MSc in Statistics from the University of St Andrews in 2021, and my BA in Philosophy, Politics, and Economics from the University of Oxford in 2020.
My research interests include computational-statistical gaps, high-dimensional statistics, and theoretical machine learning. In particular, I am currently interested in computational hardness for sampling problems.
You can contact me at conor dot sheehan at yale dot edu.
Papers
Note: as is the norm in my field, all authors are listed alphabetically.
On the Low-Temperature MCMC threshold: the cases of sparse tensor PCA, sparse regression, and a geometric rule
arXiv:2408.00746
Zongchen Chen, Conor Sheehan, and Ilias Zadik, 2024Almost-Optimal Local-Search Methods for Sparse Tensor PCA arXiv:2506.09959 Maxwell Lovig, Conor Sheehan, Konstantinos Tsirkas, Ilias Zadik, 2025