CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Microarchitectural Characterization of LightGCN and ExpressGNN and Architectural Implications (Poster Presentation)

Davis, C., Stockton, P., Zhang, M., Ryoo, J., & John, E. (2025). Microarchitectural Characterization of LightGCN and ExpressGNN and Architectural Implications (Poster Presentation). 20th International Conference on High Performance, Edge and Cloud Computing (HiPEAC). IEEE.

Hierarchical Agglomerative Clustering Optimization for Massive Data

Dai, W., & Zhang, M. (2024). Hierarchical Agglomerative Clustering Optimization for Massive Data. IEEE 24th International Conference on Scalable Computing and Communications (ScalCom).

A High Performance AI-powered Cache Mechanism for IoT Devices

Dai, W., & Zhang, M. (2024). A High Performance AI-powered Cache Mechanism for IoT Devices. International Conference on Cyber-enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE.

Microarchitectural Analysis of Pre-processing Stage in Machine Learning Workloads

Zhang, M., Lee, D. Y., Janarthanan, V., & Ryoo, J. (2024). Microarchitectural Analysis of Pre-processing Stage in Machine Learning Workloads. 7th International Conference on Algorithms, Computing and Artificial Intelligence. IEEE.

Talks

Teaching

Service and leadership

• Currently signed in to 43 different slack teams