CV

Education

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

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

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

Publications

Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression

Wen, C., Li, Z., Dong, R., Ni, Y. and Pan, W., 2023. "Simultaneous Dimension Reduction and Variable Selection for Multinomial Logistic Regression." INFORMS Journal on Computing.

Distance-Based Independence Screening for Canonical Analysis

Yijin Ni, Chuanping Yu, Andy Ko, Xiaoming Huo, 2023. "Distance-Based Independence Screening for Canonical Analysis." Arxiv.

A Concentration Inequality for Maximum Mean Discrepancy (MMD)-based Statistics and Its Application in Generative Models

Ni, Y. and Huo, X., 2024. "A Concentration Inequality for Maximum Mean Discrepancy (MMD)-based Statistics and Its Application in Generative Models." ArXiv.

Talks

October 15, 2023

Introduction Session at INFORMS Annual Meeting, Pheonix, Arizona

Uniform Concentration Inequality for MMD-related Statistics

May 18, 2024

Oral presentation at IISE Annual Conference & Expo, Montreal, Canada

Teaching

Summer Undergraduate Research in Engineering/Sciences (SURE)

Time Series Analysis

MS Analytics Software/Math/Statistics Sessions

Service and leadership

• Currently signed in to 43 different slack teams