Andrew Bae

PhD Student

Carnegie Mellon University

Biography

I am a PhD student at Carnegie Mellon University. I recieved my BS from Stony Brook University.

Outside of work, my hobbies include playing cello and powerlifting. I also used to solve Rubik’s cubes competitively.

Interests

Machine learning
Optimization
Large-scale systems

Education

PhD, Engineering, 2029
Carnegie Mellon University
MS, Engineering, 2026
Carnegie Mellon University
BS, Computer Science and Applied Mathematics & Statistics, 2024
Stony Brook University

Work Experience

Machine Learning Intern

MIT Lincoln Laboratory

Jun 2024 – Aug 2024 Lexington, MA

Software Engineering Intern

Lawrence Berkeley National Laboratory

May 2023 – Aug 2023 Berkeley, CA

Research Experience

Graduate Student Researcher

Independent Researcher

Nov 2025 – Present Carnegie Mellon University

Graduate Student Researcher

Advisor: Prof. Sean Qian

Aug 2024 – Oct 2025 Carnegie Mellon University

Undergraduate Student Researcher

Advisor: Prof. Susu Xu

Oct 2021 – Dec 2023 Stony Brook University

Undergraduate Student Researcher

Advisor: Prof. Benjamin S. Hsiao

Jan 2021 – Sep 2021 Stony Brook University

Selected Publications

Andrew Bae, Corey Harper (2025). Multi-Criteria Pathfinding for High-Speed Rail: A Computational Geospatial Analysis of the Albany–New York City Corridor. Preprint.

Andrew Bae, Sean Qian (2025). Real-Time Ensemble Labeling of Nonrecurrent Traffic Disturbances from Speed Data. Preprint.

Code

Andrew Bae, Sean Qian (2025). Why Traffic Forecasting Benchmarks Hide Nonrecurrent Failures. Preprint.

Andrew Bae, Susu Xu (2022). Discovering and Understanding Algorithmic Biases in Autonomous Pedestrian Trajectory Predictions. Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems (SenSys 2022).

Link Code

Other Publications

Naomi Panjaitan, Ling Jin, Caitlin Brown, Anna Spurlock, Thomas Wenzel, Alina Lazar, Qianmiao Chen, Andrew Bae (2025). Large Scale Integrated Simulation of Household Vehicle Fleet Composition with Geographically Explicit Synthetic Population. The 13th IEEE International Conference on Big Data (IEEE BigData 2025).

Code

Jiajun Tian, Ahmad Reza Motezakker, Ruifu Wang, Andrew Bae, Andrei Fluerasu, Benjamin S. Hsiao, Tomas Rosén (2024). Probing the Self-Assembly Dynamics of Cellulose Nanocrystals by X-ray Photon Correlation Spectroscopy. Journal of Colloid and Interface Science.

Link Code

Teaching Experience

Teaching Assistant:

12760 - Fundamentals of Programming, Carnegie Mellon University, Spring 2025
AMS 341 - Linear Programming, Stony Brook University, Fall 2023
CSE 214 - Data Structures, Stony Brook University, Spring 2023
HON 101 - Honors College Freshman Seminar, Stony Brook University, Fall 2022
AMS 326 - Numerical Analysis, Stony Brook University, Summer 2021

Awards and Honors

Selected Awards:

GEM Fellowship, 2025
Award of Honor, Stony Brook Department of Applied Math and Statistics, 2024
SUNY Chancellor’s Award for Student Excellence, 2024 [SBU News]
Tau Beta Pi Schlarship, 2023
Barry M. Goldwater Scholarship, 2023 [SBU News]
Undergraduate Researcher of the Month (April), Stony Brook University, 2023 [Interview] [SBU News]

Other Awards:

Steven J. Fenves Travel Grant, Carnegie Mellon University, 2025
AWS re:Invent All Builders Welcome Grant, 2025
Weinig Foundation Scholarship, Stony Brook University, 2023
URECA Research Travel Grant, Stony Brook University, 2022
URECA Summer Research Scholarship, Stony Brook University, 2022
PSEG Exploratons in STEM Scholarship, Stony Brook University, 2021
URECA Summer Research Scholarship, Stony Brook University, 2021
Presidential Scholarship, Stony Brook University, 2019
Honors College, Stony Brook University, 2019
Honor Graduate, Shaker High School, 2019