Assaf Toledo is a research staff member at IBM Research AI with nine years of experience at the intersection of natural language processing and multimedia systems. He specializes in argumentation and debating technologies using machine learning, building on a PhD in Computational Linguistics where he modeled textual entailment and explored semantics of gradable adjectives. His background uniquely blends deep linguistic theory and practical system engineering—he has led development of near real-time streaming servers with on-the-fly transcoding and protocol translation earlier in his career. Based in Israel, he leverages both academic rigor from postdoctoral work and hands-on engineering experience to move research into scalable prototypes. Colleagues can expect a researcher who comfortably navigates formal semantics, ML-driven NLP tasks, and complex multimedia infrastructure.
9 years of coding experience
6 years of employment as a software developer
M.A., Generative Linguistics, M.A., Generative Linguistics at The Hebrew University of Jerusalem
B.Sc, Math, Computer Science, B.Sc, Math, Computer Science at Tel Aviv University
PhD, Computational Linguistics, PhD, Computational Linguistics at Utrecht University
Postdoc, Natural Language Processing, Postdoc, Natural Language Processing at Bar-Ilan University
Infrastructure for evaluating intent detection over logs from the VIRA chatbot (https://vaxchat.org).
Contributions:1 PR, 12 pushes in 8 months
chatbot
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