Di Huang
Machine Learning Engineer at Snap Inc.
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolDi Huang is a machine learning engineer with eight years of experience building production recommender and ranking systems across major consumer platforms, currently working on ads ranking at Snap after leading personalization efforts for WBD’s MAX. With a PhD-backed research background from USC in graph representation learning and multiple publications on GNNs and bias mitigation, she bridges cutting-edge research with pragmatic engineering to improve user relevance at scale. Her industry work spans recommendation and timeline ranking at Twitter and research internships at Google and Siemens, where she applied social-graph signals to real-world problems. Based in Los Angeles, she combines deep expertise in graph ML with a track record of shipping RFY/BYW/YMAL-style personalization features that directly impact engagement.
8 years of coding experience
7 years of employment as a software developer
Phd student in CS Phd program Computer Science, Phd student in CS Phd program Computer Science at University of Southern CaliforniaMaster of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Télécom ParisMaster of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at EURECOMBachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at Zhejiang University
Chinese, English, French
Github Skills (6)
graph-embedding5
benchmark4
embedding4
graph3
pytorch1
deep-learning1
Programming languages (2)
Github contributions (5)
dihuang0220/GraphEnsembleLearning
Sep 2019 - Sep 2019
Contributions:31 commits, 5 pushes in 6 days
dihuang0220/Ph.Di
Aug 2018 - Jan 2019
Contributions:15 pushes, 1 branch in 5 months
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