Dr. Oren Ish Shalom

Advisor: Prof. Noam Rinetzky

Scaling Symbolic Execution

Dr. Eliav Buchnik

Advisors: Prof. Shiri Chechik & Prof. Edith Cohen

Acceleration Methods for Graph-Based Machine Learning

Dr. Alon Brutzkus

Advisor: Prof. Amir Globerson

Towards Understanding Optimization and Generalization in Deep Learning

Dr. Dov Danon

Advisor: Prof. Daniel Cohen-Or

Image Processing Through Unsupervised Learning

Dr. Dan Vainstein

Advisor: Prof. Yossi Azar

Optimization in Matching and Clustering

Dr. Noam Touitou

Advisor: Prof. Yossi Azar

Online Problems With Deadlines, Delay or Predictions

Dr. Lee Cohen

Advisor: Prof. Yishay Mansour

Topics in Machine Learning, Reinforcement Learning and Societal Challenges

Dr. Tomer Ezra

Advisor: Prof. Michal Feldman

Simple Mechanisms for Limited Information Settings

Dr. David Pellow

Advisor: Prof. Ron Shamir

Methods for the Efficient Analysis of Large Sequencing Experiments

Dr. Nave Frost

Advisor: Prof. Daniel Deutch

Toward Explainable Data Science

Dr. Eliad Tsfadia

Advisor: Prof. Iftach Haitner

On Cryptographic Hardness, Differential Privacy and the Interconnection Between them

Dr. Aviv Rosenberg

Advisor: Prof. Yishay Mansour

Regret Minimization in Reinforcement Learning

Dr. Itay Sason

Advisor: Prof. Roded Sharan

Probabilistic Models for the Characterization of Mutational Processes in Cancer