Jianing Wang
Teaching Assistant at Saier Lab, University of California, San Diego
California, United States
Summary
🤩
Rockstar🎓
Top SchoolJianing Wang is a researcher-engineer bridging NLP, knowledge graphs, and computational biology with seven years of multidisciplinary experience and current Ph.D. work at East China Normal University while based in California. As founder of HugAILab and a contributor to Alibaba's widely used EasyNLP toolkit, Jianing has hands-on expertise in benchmarking, optimizer improvements (notably AdamW), and model training workflows. He combines academic rigor from UC San Diego (MS and dual BS in Bioinformatics and Math/CS, both 3.96 GPA) with practical lab experience in comparative genomics and molecular dynamics. Jianing also teaches and mentors as a long-standing TA, translating complex concepts into accessible instruction. His profile reflects a rare mix of open-source impact, biological domain knowledge, and deep technical skill in ML infrastructure.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Biology:Bioinformatics, 3.96/4.00, Bachelor of Science - BS, Biology:Bioinformatics, 3.96/4.00 at University of California San DiegoMaster of Science - MS, Biology, Master of Science - MS, Biology at University of California, San Diego
Chinese, English, Korean
Github Skills (11)
transformers10
pytorch10
machine-learning10
nlp10
python10
bert10
adam9
deep-learning8
deeplearning-ai8
pre-trained-model8
text-classification8
Programming languages (5)
Github contributions (5)
alibaba/EasyNLP
Apr 2022 - Oct 2022
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 16 commits, 12 PRs in 6 months
Contributions summary:Jianing primarily contributed to the development of benchmark functionalities and the improvement of existing code within the `EasyNLP` project, specifically focusing on the `CLUE` benchmark. They modified preprocessing scripts, application code, and evaluation scripts to facilitate benchmarking. Furthermore, the user added and improved optimizers, especially for AdamW. This indicates involvement in model training and evaluation processes within the NLP domain.
knowledge-distillationbertfewshot-learningimage-classificationnatural-language-processing
wjn1996/HugNLP
Feb 2023 - Mar 2023
HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab
Contributions:12 reviews, 42 commits, 55 PRs in 1 month
code-understandingdeep-learningfew-shot-learningknowledge-enhancementnatural-language-processing
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