Nathaniel Hobbs

Assistant Professor Of Professional Practice at Rutgers Business School

New Jersey, United States
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Summary

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Senior
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Top School
Nathaniel Hobbs is an Assistant Professor of Professional Practice and PhD researcher at Rutgers with 11 years of experience applying machine learning to real-world problems across NLP, computer vision, and applied cryptography. Trained at Tsinghua (MS) and Purdue (BS) and seasoned by four years of industry work in China, he has built high-throughput backend systems, implemented large-scale NLP pipelines (Naive Bayes, HMMs, CRFs) and trained neural nets for image tasks. His research blends learning theory and practical ML—recent work explores learning from partial information while isolating general supervised learning techniques. Fluent in English and Mandarin, he contributes to open source and has a track record of interdisciplinary collaboration spanning wireless networking theory, security/obfuscation, and production ad systems.
code11 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD, Management Science and Information Systems, Doctor of Philosophy - PhD, Management Science and Information Systems at Rutgers Business School
bookBachelor of Science (BS), Mathematics and Computer Science, Bachelor of Science (BS), Mathematics and Computer Science at Purdue University
bookMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at Tsinghua University
languagesEnglish, Chinese
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Github Skills (13)

python7
pytorch6
artificial-intelligence6
sequence-to-sequence5
vision-and-language4
ai4
linux-kernel4
computer-vision2
javascript1
deep-learning1
neural-machine-translation1
nodejs1
bert1

Programming languages (1)

Python

Github contributions (5)

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qoncrete/qoncrete.com

Feb 2017 - Apr 2017

Contributions:30 commits, 20 pushes, 2 branches in 1 month
Contributions:22 pushes, 2 branches in 1 year 9 months
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