Fan-keng Sun
PhD Candidate
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolFan-keng Sun is a PhD candidate in EECS at MIT with a decade of experience focused on machine learning and deep learning for sequence modeling, spanning time series analysis and natural language processing. Based in Boston, he blends rigorous academic research with practical engineering, exploring models that capture temporal and sequential structure. His background includes an electrical engineering degree with a CS minor from National Taiwan University, and he maintains an active personal webpage showcasing projects and papers. Notably, his work emphasizes interpretable sequence models and transferable architectures that bridge research insights to real-world signal and language tasks.
10 years of coding experience
Doctor of Philosophy - PhD, Electrical Engineering and Computer Science, Doctor of Philosophy - PhD, Electrical Engineering and Computer Science at Massachusetts Institute of TechnologyBachelor's degree, Electrical Engineering (major) and Computer Science (minor), Bachelor's degree, Electrical Engineering (major) and Computer Science (minor) at National Taiwan University
chinese (madarin), English, Mandarin
Github Skills (19)
physical-design10
eda10
self-attention9
forecasting7
forecast7
deep-learning6
language-modeling6
machine-learning6
time-series6
python6
pytorch6
transformer5
css5
javascript4
music3
Programming languages (6)
Github contributions (5)
Daikon-Sun/EM-in-LLL
Jul 2019 - Aug 2019
Contributions:49 commits in 9 days
Daikon-Sun/MLDS2017
Mar 2017 - Jun 2017
NTU_MLDS_2017
Contributions:155 commits in 3 months
deep-learningntupythonmachine-learning
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