Jiaji Huang

Part-Time Lecturer

Jiaji Huang
  • Machine learning
  • Natural language processing
  • Large language modeling

Huang has a long-term research mission of democratize AI, making sophisticated and expensive AI more accessible under limited resource constraints.

  • PhD in Electrical Engineering, Duke University 
  • BS in Electrical Engineering, University of Science and Technology of China 

Jiaji Huang is a part-time lecturer at the Khoury College of Computer Sciences at Northeastern University, based in Silicon Valley. He has been working in the AI and machine learning industry since 2016, where he has researched many fields related to deep learning, including NLP, speech recognition, and more recently, large language models (LLM). He now tech leads multiple projects in Amazon’s Annapurna lab that speed up LLM inference on the homegrown trainium accelerator.

Through teaching and mentoring, Huang hopes to bring his rich industrial R&D experience to the next generation of scientists and connect with other fellow leaders in the field.

  • Sparsity and quantization of models