I am a Research Scientist at Google Research, focusing on NLP and machine learning. I am also interested in computational social choice. I obtained my PhD in computer science from Bar-Ilan University.

Short Bio

I completed my MSc (summa cum laude) at Bar-Ilan University in 2007, focusing on string algorithms and data structures, specifically on the interplay between text indexing and computational geometry. I was fortunate enough to have Moshe Lewenstein as my advisor. Following that, I took a (not so short) break from Academia and joined ClearForest, a Thomson Reuters company, where I engaged in hands-on, applied research in machine learning in the context of natural language processing (NLP). Among other projects, I developed the logic behind most of "Social Tags" (here's a TechCrunch piece about it) featured in the OpenCalais project.

In 2011, I returned to Bar-Ilan and started my PhD under the supervision of Moshe Lewenstein, Liam Roditty, and Avinatan Hassidim; in parallel, I kept my job at Thomson Reuters.

In October 2012, I joined the Personal Assistant Platform division at Ginger Software as a senior researcher, at the division's inception. At Ginger, I did cool stuff at the intersection of speech recognition and more traditional NLP.

In May 2014, the division was acquired by Intel; I joined the New Devices Group at Intel as part of the acquisition, and worked on Dialogue systems for smart wearables.

In February 2017, I joined Chorus as a Senior Research Scientist. In Chorus I worked on speech processing (mainly speaker separation and diarization) and NLP in the context of analyzing sales calls.

In December 2018, I joined Google Research, where I focus on hands-on NLP and machine learning. Shortly after joining Google, I officially completed my PhD.

Research Interests

Academia 

  • Computational social choice

  • Theoretical computer science

  • Previously I have also focused on graph algorithms (in particular graph distances), stringology, text indexing, computational geometry, and data structures

Work 

  • Machine learning

  • Natural language processing

  • Speech recognition

Me.

Me.