Summary
Tom Hope is a Principal AI Scientist and senior lecturer who blends deep academic research with industry impact, leading an AI/NLP lab at the Hebrew University while holding a research scientist role at the Allen Institute for AI. With a PhD in computer science and a decade of experience, he has guided teams at Intel to deploy award-winning deep learning, NLP, and computer vision solutions across healthcare, manufacturing, and marketing. His work—recognized with multiple best paper awards and coverage in Nature and Science—spans knowledge graphs, information retrieval, and applied ML for real-world systems. He also advises startups, consults for major corporations, and authored practical resources on TensorFlow, highlighting a rare mix of scholarly rigor and product-focused engineering. An Azrieli Early Career Fellow, Tom often supervises and collaborates across academia and industry to translate novel research into deployable AI.
10 years of coding experience
11 years of employment as a software developer
Postdoctoral research Computer Science, Postdoctoral research Computer Science at University of Washington
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at The Hebrew University of Jerusalem
IASA - Israeli Arts and Science Academy
Machine Learning Summer School, Machine Learning Summer School at Max Planck Institute for Intelligent Systems
English, Hebrew