Kefu Lu

Short Bio

My work focuses on the broad area of parallel and distributed computing. I also have a general interest in theoretical computer science.

Recently, I am working on the scheduling of jobs in parallel systems and the design of distributed algorithms for machine learning.

Currently, I am an Assistant Professor in Computer Science at Washington and Lee University.

My doctoral advisor was Angelina Lee. I also worked with Kunal Agrawal at Washington University in St. Louis, where I completed my doctorate in May 2019.

In 2018 I worked at Sandia National Labs on Quantum Computing and from 2018 to 2019, I visited Carnegie Mellon University to work with Benjamin Moseley on distributed algorithms. 

In my free time, I enjoy music, movies, soccer, and yea, playing video games.

Teaching:

• CS 326 - Cloud Computing

• CS 320 - Parallel Algorithms

• CS 313 - Theory of Computation

• CS 211 - Algorithm Design and Analysis

• CS 112 - Fundamentals of Programming II

• CS 111 - Fundamentals of Programming I

Research

My research focuses on the design and application of algorithms. I enjoy working with students on to implement and design efficient solutions to practical problems.

See my research page!