Summary
Yael Mathov is a Staff AI/ML Researcher with 11 years of experience building and operationalizing adversarial learning and fraud-detection models across academia and industry. She holds a PhD in Adversarial Learning and has published prolifically—over nine papers with 1,100+ citations—translating novel research into real-world systems for vision, audio, tabular data, and algorithmic trading. At Intuit and previously PayPal she bridges research and production, deploying embedding, clustering, and supervised solutions in large-scale data environments. Her early work in IoT malware sandboxes and black-box reverse engineering shows a rare combination of deep security expertise and hands-on systems engineering. Comfortable leading teams and cross-border collaborations, she has also managed research projects for industry partners like RBC and presented results to global stakeholders.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at Ben-Gurion University of the Negev
Hebrew, English