Summary
Natalie Shapira is a research-driven postdoctoral fellow and machine learning practitioner with nine years of experience bridging academic rigor and industry impact in areas such as deep learning, linguistics, pragmatics, and commonsense reasoning. She has led and contributed to applied research at Amazon and IBM—working on medical imaging analytics and multimodal cognitive assistants—and co-founded 4GoodAI to deploy ML for mental-health signal detection in support communities. With a PhD from Bar-Ilan University and an early background in low-level systems as a Linux kernel engineer, she combines strong algorithmic foundations with practical experience in data, sensors, and real-world deployments. Curious about people as much as models, she writes about technology and its social implications and maintains a public presence through her blog and Twitter.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Bar-Ilan University
English, Hebrew