Reka Daniel-Weiner

Director, Machine Learning Engineering / Data Science And Food Database / Search at WW International

Reka Daniel-Weiner is an accomplished leader in machine learning engineering and data science with extensive experience in enhancing member experiences through AI-driven solutions. Currently serving as Director at WeightWatchers since December 2018, Reka oversees multiple teams focused on developing LLM-based applications, enriching food databases, and maintaining AI/ML infrastructure. Previous roles include significant positions at Dstillery, where Reka established a patented consumer clustering method, and a postdoctoral position at Princeton University, where Reka developed computational models in neuroscience. Reka holds a PhD in Cognitive Psychology from Otto-von-Guericke University Magdeburg and a Master's degree in Psychology from Friedrich Schiller University Jena.

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