Summary
Jun Wu is an associate research scientist in New York with eight years of experience at Mount Sinai combining quantitative cell biology and computational approaches to unravel planar cell polarity and signaling mechanisms. He has led discoveries on Wnt gradients, Frizzled/Van Gogh interactions, and Hippo-Notch crosstalk, and translates wet-lab insight into reproducible computational analyses. Over the last few years he has pivoted into data engineering and ML, building Spark-based data lakes on AWS EMR, Airflow pipelines into Redshift, and a Flask-based hypothyroid classifier. Skilled across cell imaging, Python, TensorFlow, Spark, SQL and AWS, he bridges deep domain expertise in cell polarity with practical production data systems. Unusually for a bench scientist, he holds multiple Udacity nanodegrees in cloud, streaming and edge AI, reflecting a deliberate shift to deployable AI and data infrastructure for biology.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BS), Microbiology, General, Bachelor of Science (BS), Microbiology, General at Fudan University
Nanodegree, Cloud DevOps Engineer, Graduate, Nanodegree, Cloud DevOps Engineer, Graduate at Udacity
Ph.D, Cell Biology, Ph.D, Cell Biology at Baylor College of Medicine
English, Chinese