Afrah Shafquat is a Senior Data Scientist II with 12 years of experience applying statistical and computational methods to high-dimensional problems across healthcare and beyond. She specializes in extracting actionable insights from diverse data types—medical imaging, genetics, microbiome, internet traffic, and audio—translating complex signals into answers that inform clinical and research decisions. Based in New York and working at Medidata Solutions, she focuses on method development that bridges rigorous AI research with real-world healthtech impact. Holding a Ph.D. from Cornell and a bachelor’s from MIT, she combines deep academic training with practical problem-solving at scale. Known for tackling noisy, heterogeneous datasets, she brings a curiosity for unconventional signals and a track record of turning them into robust, interpretable models.
12 years of coding experience
Bachelor's Degree, Bachelor's Degree at Massachusetts Institute of Technology
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Cornell University
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