About

Work: In April 2026, I started as Head of AI & Data at the Adanim Institute, an applied research institute established by the Schusterman Family Foundation and dedicated to advancing social welfare systems through systemic infrastructure, policy research, and data-driven operational methods. Alongside that work, I continue to advise organizations on data science strategy, AI implementation, team building, and applied ML systems.

Before Adanim, I worked as an independent strategic data science consultant, helping startups build and mature data science operations across technical, methodological, and organizational questions. I previously served as VP Data Science at LeO, an insurtech startup, and led data science work at Neura and ZenCity. Earlier, I worked as a developer at Intel and Ravello (now Oracle Cloud).

Community Projects: I co-founded and help lead Datahack, a nonprofit promoting AI and data science in Israel through programs such as DataCoach, DataNights, DataTalks, and Kaggle-IL. I also founded NLPH, a community for Hebrew NLP resources and collaboration. We have run two cohorts of the DataNights program for data science team leads, the second three years ago, and a third cohort is planned soon. See more at my community page.

Teaching & Education: I teach Deep Learning, Text Mining, and Data Visualization at the Coller School of Management at Tel Aviv University. I also teach an introductory course on Machine Learning at The Academic College of Tel Aviv-Yaffo and have taught data science management through DataNights. I completed an MBA at Tel Aviv University and studied computer science and philosophy at The Hebrew University of Jerusalem. See more on my teaching page.

Writing, Talks & Open Source: I write and speak about data science practice, AI, NLP, MLOps, data leadership, and applied research. See more on my talks page and my blog page. I also maintain several open-source Python projects; see more at my code page.