I’m an AI scientist shaped by three decades of hands-on industry and software product-building experience. 

Currently, I conduct AI research as a faculty member in the Computer Science Department at the Holon Institute of Technology.

My research focuses on applying deep generative models to challenges in natural language processing, computer vision, and robotics. A central theme is the development of synthetic data generation techniques to support the training, fine-tuning, and evaluation of AI models, particularly in domains such as education, healthcare, and defense, where labeled real-world data is often scarce or inaccessible. 

I am also especially interested in anomaly detection tasks, with a focus on generating synthetic anomalous data to overcome the inherent scarcity of labeled anomalies.