Jing Li

Jing Li is a Software Engineer at Google, currently based in Mountain View, California. She has a strong background in communications and networking, having completed her PhD in Electrical Engineering and Computer Science at Northwestern University. Her research focused on blockchain protocols, where she accomplished significant work including the first rigorous mathematical proof of properties related to Bitcoin and other blockchain systems.1

Professional Experience

• Software Engineer at Google (September 2020 - September 2022)

  • Developed a recommendation system for the Google Pay app using TensorFlow.
  • Worked on machine learning models for features like offer ranking and merchant search.
  • Created data generation pipelines in Java and implemented algorithms to enhance user offers on Google Maps.

• PhD Candidate at Northwestern University (September 2015 - August 2020)

  • Conducted research in blockchain protocol analysis and resource allocation in large-scale networks.

• Internships and Earlier Roles

  • Held software engineering internships at Google, where she focused on machine learning and data processing for shopping attributes from YouTube videos.
  • Worked as a research intern at Huawei Technologies, applying optimization strategies for 5G networks.

Education

• PhD in Electrical Engineering
  Northwestern University (2015 - 2020)

• Bachelor of Applied Science in Control Science and Engineering
  Zhejiang University (2011 - 2015)

Skills and Interests

Jing Li is skilled in machine learning, data processing, and algorithm design, particularly in the context of internet services and cloud infrastructure. Her work has involved significant contributions to machine learning applications in commercial products, showcasing her ability to bridge theoretical research with practical engineering solutions.12