Feng Nan
Machine Learning Researcher at Amazon Web Services (AWS)
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolFeng Nan is a machine learning researcher with a decade of experience applying optimization and resource-efficient learning to real-world problems, currently working on large language models within Apple’s foundation models team. Prior roles at AWS as an Applied Scientist and Senior Applied Scientist built on a strong research foundation from a PhD in machine learning optimization at Boston University and an earlier focus on computational design from MIT. Feng has a track record of translating theoretical advances—semi-definite programming for stochastic non-convex optimization and resource-constrained supervised learning—into empirical gains on challenging datasets. Comfortable at the intersection of research and production, they bring experience from industry labs and academic settings, including internships at Microsoft focused on ML for embedded devices. Based in Boston, Feng blends deep optimization expertise with practical ML engineering for scalable foundation-model work.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Computer Engineering minor in Mathematics, Bachelor’s Degree Computer Engineering minor in Mathematics at National University of SingaporeMaster’s Degree Computational Design and Optimization, Master’s Degree Computational Design and Optimization at Massachusetts Institute of TechnologyDoctor of Philosophy (Ph.D.) machine learning optimization, Doctor of Philosophy (Ph.D.) machine learning optimization at Boston University
English, Chinese
Github Skills (8)
deep-learning10
jax8
summarization3
sentence3
rewriting3
natural-language-processing2
nlp2
acl2
Programming languages (2)
Github contributions (5)
fnan/FeatureBudgetedRandomForest
Oct 2015 - May 2017
Contributions:10 commits, 8 pushes, 1 branch in 1 year 6 months
fnan/SGDBudgetLearning
Jul 2015 - Aug 2016
Contributions:1 PR, 2 pushes, 1 branch in 1 year 1 month
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