Scholar
Laixi Shi
Google Scholar ID: V8RkRr8AAAAJ
Johns Hopkins University, ECE & DSAI
Citations & Impact
Citations
858
H-index
13
i10-index
14
Publications
20
Co-authors
59
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Honored with five Rising Star awards across fields including electrical engineering, computer science, machine learning, signal processing, and computational data science
- - Ph.D. thesis received the CMU ECE A.G. Milnes Award (2024)
- - Multiple papers accepted by NeurIPS 2025, AISTATS 2025, ICLR 2025, etc.
Research Experience
- - Assistant Professor, Department of Electrical and Computer Engineering, Johns Hopkins University
- - Postdoctoral Fellow, Computing + Mathematical Sciences, California Institute of Technology
- - Intern, Columbia University, working with Prof. Xiaofan (Fred) Jiang
- - Intern, Mitsubishi Electric Research Laboratories (MERL), mentored by Dehong Liu
- - Intern, Google Research (previous Brain Team) in Paris and Mountain View, working with Pablo Samuel Castro, Robert Dadashi, and Matthieu Geist
Education
- - Ph.D.: Carnegie Mellon University (2023), advised by Prof. Yuejie Chi
- - Postdoctoral Fellow: Computing + Mathematical Sciences, California Institute of Technology, hosted by Prof. Adam Wierman and Prof. Eric Mazumdar
- - B.Eng.: Electronic Engineering, Tsinghua University
Background
- Currently an Assistant Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University, affiliated with the Data Science and AI Institute. Research interests focus on human-centered decision making, especially robust and data-efficient reinforcement learning, ranging from theory to applications, situated at the intersection of data science, optimization, and statistics.
Miscellany
- Always seeking self-motivated students excited about the exploration of important, interesting—even challenging—problems, with strong math and/or coding backgrounds. Contact: laixis at jhu dot edu
