Editing a special issue titled 'Artificial Intelligence in Alzheimer’s disease and Related Dementias Research: Unveiling Novel Research Directions' in the Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) journal. Paper 'On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs' received the Senior Area Chair best paper award for Model Analysis and Interpretability in NNACL 2025.
Research Experience
Active in the hi-tech industry, served as a chief scientist for several companies (e.g., suridata.ai, recently purchased by Fortinet) and provides consultancy services to other companies (among previous companies: Yahoo!, Gong.io, and Meta).
Background
Professor and Schmidt Career Advancement Chair in Artificial Intelligence at the faculty of Data and Decisions Science (formerly Industrial Engineering and Management) of the Technion – Israel Institute of Technology. Affiliated lecturer at The Centre for Human-Inspired Artificial Intelligence (CHIA) of the University of Cambridge, UK. Co-editor in Chief of the Transactions of the Association for Computational Linguistics (TACL, MIT Press) and a fellow of ELLIS. Research focuses on out-of-distribution generalization, sample-efficient learning, multilingual natural language processing, multi-modal learning, causality and machine learning/NLP, particularly in the context of large language model explainability, interpretability, and robustness to distributional shifts. Works on developing decision-making agents capable of natural language communication, and harnessing NLP and multi-modal models for scientific and health-related discovery – especially in neuroscience, mental health, cognition, emotion, and behavior.
Miscellany
Interest in applying NLP and multi-modal models to scientific and health-related discovery, particularly in fields such as neuroscience, mental health, cognition, emotion, and behavior.