Nancy Wang is a computer vision and deep learning researcher-turned-founder with a decade of experience applying multimodal AI to real-world problems, from decoding neural time-series during her PhD to production computer vision at Amazon. She co-founded FluenTea to make language learning social and AI-driven, building on her track record of fusing vision, NLP and neuroscience to automate long-term behavioral labeling and document understanding. Her research has bridged academia and industry—published work at AAAI and Frontiers and applied projects at IBM and Zillow—demonstrating a knack for turning complex sensor and video data into practical products. Based in Berlin, she combines interdisciplinary curiosity (neural systems to cultural exchange) with startup grit and a history of replacing tedious human annotation with scalable ML.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Washington
Bachelor's degree, Computer Science, 3.9, Bachelor's degree, Computer Science, 3.9 at The University of British Columbia
Contributions:397 pushes, 1 branch in 1 year 11 months
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