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

Globally-Optimal Greedy Active Sequential Estimation

Subspace decompositions for association structure learning in multivariate categorical response regression

Distributed Algorithms for High-Dimensional Statistical Inference and Structure Learning with Heterogeneous Data

Convergence Analysis and Trajectory Comparison of Gradient Descent for Overparameterized Deep Linear Networks

Exponential stability of the linear KdV-BBM equation

Limiting empirical spectral distribution for products of rectangular matrices

Talks

Poster Presentation on Learning Association Structures via Subspace Decomposition in Multivariate Categorical Response Regression

May 31, 2024

Poster at 2024 IRSA Conference, Minneapolis, MN, USA

Talk on Convergence Analysis and Trajectory Comparison of Gradient Descent for Overparameterized Deep Linear Networks

October 10, 2022

Talk at Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

Teaching

STAT 3301 - Regression and Statistical Computing

STAT 4101 - Theory of Statistics I

STAT 3301 - Regression and Statistical Computing

STAT 3011 - Intro Statistical Analysis

Service and leadership

• Currently signed in to 43 different slack teams