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People · HyperQuark Fellow · HQ-S26 alumni

Research Fellow (Track 3)

Farah Cisse is a data science and bioengineering student at UC Berkeley, with experience in building AI-powered data extraction pipelines from unstructured scientific content. Her work focuses on combining data systems, machine learning, and LLMs to build intelligent workflows that transform complex information into structured insights.