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

Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits

Demystifying the Slash Pattern in Attention: The Role of RoPE

BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms

Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits

Almost Optimal Variance-Constrained Best Arm Identification

Talks

BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms

July 22, 2025

at 2025 INFORMS International Meeting, Singapore

Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits

May 28, 2024

at 13th Symposium of the SIAM Student Chapter@NUS, Singapore

Almost Optimal Variance-Constrained Best Arm Identification

November 08, 2022

at 2022 IEEE Information Theory Workshop (ITW), Mumbai, Mumbai, India

Teaching

Teaching experience 2

Teaching experience 1

Service and leadership

• Currently signed in to 43 different slack teams