Jeffrey Mei
Staff Applied Scientist at SiriusXM
Somerville, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJeffrey Mei is a Staff Applied Scientist with 11 years of experience applying deep learning to real-world problems, currently improving personalized music recommendations at SiriusXM/Pandora. He has a strong research-to-production track record—building lightweight transformers for next-item recommendation at Wayfair that increased conversion and presenting at ACM RecSys—while earlier earning a PhD applying convnets to infer sea ice thickness from imagery and conducting Antarctic fieldwork. Jeffrey bridges scientific rigor and engineering scale, implementing distributed multi-GPU training and interpretable attention visualizations for product teams. Based in Somerville, MA, he combines domain expertise in geoscience and recommender systems, bringing a practical penchant for visualizing model behavior and shipping repeatable ML pipelines.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, cum laude, Physics, Mathematics, Bachelor of Science - BS, cum laude, Physics, Mathematics at New York University Abu DhabiDoctor of Philosophy (PhD), Oceanographic Engineering, Doctor of Philosophy (PhD), Oceanographic Engineering at Woods Hole Oceanographic InstitutionDoctor of Philosophy (PhD), Oceanographic Engineering, Doctor of Philosophy (PhD), Oceanographic Engineering at Massachusetts Institute of TechnologyCIE A-Level, CIE A-Level at Westlake Boys High School
English, Chinese, German
Github Skills (23)
spatial8
geometry7
autoencoder7
cartopy7
geography6
python6
matplotlib6
maps5
lifetime5
cartography5
recommender-system5
datasets5
machine-learning5
snow5
pytorch5
Programming languages (3)
Github contributions (5)
jeffreymei/jeffreymei.github.io
Jun 2019 - Apr 2024
Contributions:108 pushes, 1 branch in 4 years 11 months
jeffreymei/cryo-toolbox
Feb 2016 - Jun 2020
Contributions:28 pushes, 1 branch in 4 years 4 months
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