Tselil is an Assistant Professor of Statistics at Stanford University. Her research is in the theory of algorithms, optimization, and computational complexity, especially for problems arising in statistics.
- Computational Complexity of Statistical Inference, Fall 2021. Visiting Scientist, Program Organizer and Workshop Organizer.
- Probability, Geometry, and Computation in High Dimensions, Fall 2020. Microsoft Research Fellow.
- Bridging Continuous and Discrete Optimization, Fall 2017. Google Research Fellow.
- Foundations of Machine Learning, Spring 2017. Visiting Graduate Student.
- Algorithms and Uncertainty, Fall 2016. Visiting Graduate Student.
- Counting Complexity and Phase Transitions, Spring 2016. Visiting Graduate Student.
- Algorithmic Spectral Graph Theory, Fall 2014. Visiting Graduate Student.