Brian Wheatman

Brian Wheatman is a computer scientist who completed his PhD at Johns Hopkins University in 2024, advised by Randal Burns.12 His research focused on cache and memory optimized data structures for high performance applications.2 Wheatman has extensive experience as a Software Engineering Intern at Google, having worked there during the summers of 2017, 2018, 2019, 2020, 2021, and 2023.12

During his internships at Google, Wheatman:

1. Developed a simulator for a global network to investigate new strategies to increase reliability (Summer 2023)1
2. Investigated distributed processing frameworks and implemented a distributed solver (Summer 2021)1
3. Studied a hierarchical traffic engineering system to simplify routing (Summer 2020)1
4. Designed and implemented a machine learning model for a proprietary truth inference problem (Summer 2019)1
5. Worked on Akaros, a new operating system for high performance and real-time applications (Summer 2018)1
6. Enhanced a large Map-Reduce data processing pipeline for advertising data (Summer 2017)1

Wheatman's educational background includes:

• PhD in Computer Science from Johns Hopkins University (2019-2024)12
• Master of Engineering in Computer Science and Engineering from MIT (2019)12
• Bachelor of Science in Computer Science and Engineering and Mathematics from MIT (2017)12

Currently, Wheatman is a Postdoctoral researcher in Computer Science at the University of Chicago, working with Andrew A. Chien.2