I have recently completed my Ph.D at the Department of Computer Science, University of Toronto. My supervisors were Allan Borodin and Craig Boutilier.

Areas of interest:

Broadly: Data-mining for massive social networks & algorithmic game-theory.

Specifically:

1. • Social Networks: data mining and game theoretic techniques in the context of influence diffusion, and cascades in social networks.
   

2. • Large scale computational models. Specifically, I am interested in the design of algorithmic techniques for large datasets, using distributed and parallel technologies like MapReduce, Hadoop, Spark.
   

Other areas :

1. • Computational social choice: stochastic voting models and multi-winner social choice.
   

Professional Activities:

1. • Program committee member of: IJCAI’16, WSDM’15, IJCAI’15, EXPLORE’15
   

2. • Paper reviewer: WSDM, SODA, ITCS, STOC, IJCAI, JAAMAS, EC, WINE, COLT.
   

3. • Organizer of the game theory reading group.
   

4. • Teaching: Co-Instructor in the course: CSC200Y: Social and Economic Networks: Models and Applications
   

5. • Teaching assistant:
   

1. 1. Introduction to Algorithms.
   

2. 2. Data Structures.
   

3. 3. Introduction to Programming.
   

4. 4. Social and Economic Networks.
   

5. 5. Distributed Computing.
   

6. 6.Optimization, Pattern Matching & Search Algorithms (@BGU)