About

Hi, I’m Aron! I’m a final year doctoral student at MIT’s Laboratory for Information and Decision Systems (LIDS) and a member of the Resilient Infrastructure Networks group. My research focuses on applying machine learning and optimization towards planning and operations of large-scale systems, with a particular focus on regional energy systems.

Before starting my PhD, I studied Civil Systems Engineering and Mathematics (Courses 1+18) at MIT. Outside of my research, I have also been a teaching assistant for 1.C01/1.C51 Machine Learning for Sustainable Systems and spent last summer as an intern with Gridmatic.

Research

I am currently working as a graduate researcher in MIT’s Resilient Infrastructure Networks Lab under the mentorship of Saurabh Amin [CEE/ORC/LIDS]. My research interests lie at the intersection of deep learning and optimization with applications towards infrastructure/societal systems. In particular, I’m interested in understanding how machine learning can benefit planning for decarbonized interconnected transportation-energy systems.

Publications

  1. Sep 2026
    Strategic Spatial Load Shifting and Market Efficiency

    Aron Brenner, Deepjyoti Deka, Line Roald, Saurabh Amin

    PowerUp 2026/arXiv

  2. Jul 2026
    Strategic Data Center Load Shifting

    Aron Brenner, Line Roald, Saurabh Amin

    IEEE PES General Meeting 2026/arXiv

  3. Apr 2026
    Optimization Under Uncertainty for Energy Infrastructure Planning: A Synthesis of Methods, Tools, and Open Challenges

    Rahman Khorramfar, Aron Brenner, Lara Booth, Ana Rivera, Ruaridh Macdonald, Priya Donti, Saurabh Amin

    Under review, European Journal of Operational Research/arXiv

  4. Apr 2025
    A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization

    Aron Brenner, Rahman Khorramfar, Jennifer Sun, Saurabh Amin

    International Conference on Learning Representations/arXiv

  5. Jan 2024
    Learning-assisted Stochastic Capacity Expansion Planning

    Aron Brenner, Rahman Khorramfar, Dharik Mallapragada, Saurabh Amin

    Preprint/arXiv

  6. May 2023
    Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems

    Aron Brenner, Rahman Khorramfar, Saurabh Amin

    IEEE International Conference on Cyber-Physical Systems/arXiv

  7. Nov 2022
    Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints

    Aron Brenner*, Rahman Khorramfar*, Saurabh Amin (* indicates equal contribution)

    AAAI Fall Symposium Series on the Role of AI in Responding to Climate Challenges/arXiv

  8. Oct 2022
    Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems

    Aron Brenner, Manxi Wu, Saurabh Amin

    IEEE Intelligent Transportation Systems ConferenceBest Paper Award/arXiv