Tselil is an Assistant Professor in the Statistics Department of Stanford University. Tselil obtained her PhD in Computer Science from UC Berkeley, under the advisement of Prasad Raghavendra and Satish Rao, after which she did a postdoc with Boaz Barak, Jon Kelner, Ankur Moitra, and Pablo Parrilo at Harvard and MIT. Her research is in algorithms, with interests including optimization via convex programs (especially the sum-of-squares hierarchy), statistical and average-case problems, and information-computation tradeoffs.
- Computational Complexity of Statistical Inference, Fall 2021. 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.