Danlu Chen
Doctoral Student at University of California San Diego
California, United States
Summary
🤩
Rockstar🎓
Top SchoolDanlu Chen is a PhD student in Computer Science at UC San Diego with 11 years of experience focused on natural language understanding and its cross-modal applications. Their research and industry stints include FAIR residency at Meta, a student researcher role at DeepMind working on ancient language recognition and transfer learning with vision LLMs, and applied ML internships at NVIDIA and Metabit. Comfortable bridging theory and practice, Danlu has taught compiler design and machine learning labs, contributed to Fudan NLP research, and built production-aware models for low-resource settings. Based in California, they combine a strong academic lineage across Fudan, Cornell, and NUS with hands-on work in language/vision transfer that signals both depth in linguistics-inspired AI and an appetite for interdisciplinary problems.
10 years of coding experience
1 year of employment as a software developer
University of California, San DiegoComputer Science, Computer Science at Fudan UniversityComputer Science, Computer Science at Cornell UniversityExchange Student Computer Science, Exchange Student Computer Science at National University of Singapore
English, Chinese, Chinese, Japanese, Greek, akkadian, egyptian (ancient)
Github Skills (105)
dep10
dataflow10
python10
mxnet10
deep-learning10
gpu10
sequence-to-sequence10
backbone10
efficientnet10
portable10
robotics10
connected10
alarm10
resnet10
conformer10
Programming languages (8)
Github contributions (5)
taineleau/qan
Jul 2016 - Aug 2016
Contributions:21 pushes in 23 days
deep-learningneural-networksmachine-learningtrainingneural-network
taineleau/img_classification_pk_pytorch
Apr 2017 - May 2017
Contributions:2 pushes in 1 month
pytorchcomparingresnetartclassification-models
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