Shiri Simon Segal

Shiri Simon Segal is a seasoned data scientist with extensive experience in machine learning and natural language processing. Currently serving as a Senior Data Scientist at ActiveFence, Shiri leads the distillation of large language models for harmful content detection and develops prompt optimization techniques for dataset generation and annotation. Previously, as a Senior NLP Data Scientist at Lemonade, Shiri spearheaded organizational NLP initiatives and improved chatbot performance through cutting-edge semantic-similarity embedding methods. At SparkBeyond, Shiri contributed as an Applied AI Researcher and Data Scientist, focusing on explainable AI features for recommender systems and building predictive models for Fortune 100 clients. Shiri began an academic career as a Neuroscience PhD researcher at Tel Aviv University, researching the mirror-neuron system, and holds a Ph.D. in Neuroscience from the same institution, alongside a B.Sc. in Neuroscience from Bar-Ilan University.