Nan Wu
Sr. Staff Data Scientist - Enterprise AI
United States
Summary
👤
Senior🎓
Top SchoolNan Wu is a Sr. Staff Data Scientist specializing in enterprise AI, with around a decade of experience building large-scale time-series forecasting systems and MLOps automation. Currently at GE HealthCare after leading data science at McKesson, Nan blends cloud-native architecture expertise (Azure, Databricks, Snowflake, Docker) with a track record of delivering measurable business impact. Trained as a PhD in Financial Services Analytics, Nan couples rigorous research—published and open-sourced work on deep graph tree networks and heterogeneous GNNs—with practical deployment of scalable forecasting pipelines. Comfortable translating between technical and business stakeholders, Nan has repeatedly moved models from prototype to production in regulated, high-stakes domains. A less obvious strength is a background in precision engineering and optoelectronics, which informs a methodical, instrumentation-minded approach to model design and signal processing.
10 years of coding experience
13 years of employment as a software developer
Master of Science (M.S.) Electrical and Electronics Engineering, Master of Science (M.S.) Electrical and Electronics Engineering at Virginia TechDoctor of Philosophy - PhD Financial Services Analytics, Doctor of Philosophy - PhD Financial Services Analytics at University of DelawareBachelor of Science (B.S.) Precision Engineering, Bachelor of Science (B.S.) Precision Engineering at Tsinghua University
English, Chinese
Github Skills (23)
hint9
deepar9
forecasting7
forecast7
machine-learning6
time-series6
algorithms6
pytorch6
arima6
neural-network5
transformer5
ets5
deep-learning5
prophet5
statistics5
Programming languages (1)
Github contributions (5)
nanw16/RstanWorkflow
Jun 2017 - Aug 2017
Contributions:39 commits, 1 branch in 2 months
nanw16/datasciencecoursera
May 2016 - May 2016
Contributions:6 pushes, 1 branch in 1 day
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