research

selected videos

Stanford Energy Fellow Spotlight, June 2026
UC Berkeley eMERGE Seminar, September 2025

Amii AI Seminar, July 2024
Caltech CAST Flash Talk, October 2023

publications

See my Google Scholar for the most up-to-date list.

2026

  1. e-Energy
    Competitive and Learned Online Algorithms for HVAC Demand Management in Thermal Networks
    Adam Lechowicz, Nicolas Christianson, Mohammad Hajiesmaili, and 2 more authors
    ACM e-Energy, 2026
  2. e-Energy
    Risk-Sensitive Peak-Aware Energy Scheduling: Competitive and Learning-Augmented Algorithms
    Lukas Himmelreich, Nicolas Christianson, and Adam Wierman
    ACM e-Energy, 2026
    Best paper award finalist
  3. SIGMETRICS
    Prediction-Specific Design of Learning-Augmented Algorithms
    Sizhe Li, Nicolas Christianson, and Tongxin Li
    ACM SIGMETRICS, 2026
  4. SIGMETRICS
    Online Smoothed Demand Management
    Adam Lechowicz, Nicolas Christianson, Mohammad Hajiesmaili, and 2 more authors
    ACM SIGMETRICS, 2026
  5. L4DC
    Improving EV Aggregate Flexibility with End-to-End Learning
    Apoorva Thanvantri, Christopher Yeh, Nicolas Christianson, and 1 more author
    Learning for Dynamics & Control Conference, 2026

2025

  1. NeurIPS
    Conformal Risk Training: End-to-End Optimization of Conformal Risk Control
    Christopher Yeh, Nicolas Christianson, Adam Wierman, and 1 more author
    Conference on Neural Information Processing Systems, 2025
  2. TMLR
    End-to-End Conformal Calibration for Optimization Under Uncertainty
    Christopher Yeh*, Nicolas Christianson*, Alan Wu, and 2 more authors
    Transactions on Machine Learning Research, 2025
  3. e-Energy
    Learning for Sustainable Online Scheduling with Competitive Fairness Guarantees
    Pengfei Li, Nicolas Christianson, Jianyi Yang, and 2 more authors
    ACM e-Energy, 2025
  4. L4DC
    Fast and Reliable N−k Contingency Screening with Input-Convex Neural Networks
    Nicolas Christianson, Wenqi Cui, Steven Low, and 2 more authors
    Learning for Dynamics & Control Conference, 2025
  5. SIGMETRICS
    Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
    Adam Lechowicz, Nicolas Christianson, Bo Sun, and 4 more authors
    ACM SIGMETRICS, 2025
  6. EDS
    Robust machine-learned algorithms for efficient grid operation
    Nicolas Christianson, Christopher Yeh, Tongxin Li, and 4 more authors
    Environmental Data Science, 2025

2024

  1. COLT
    Risk-Sensitive Online Algorithms
    Nicolas Christianson, Bo Sun, Steven Low, and 1 more author
    Conference on Learning Theory, 2024
  2. SIGMETRICS
    The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
    Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, and 4 more authors
    ACM SIGMETRICS/IFIP Performance, 2024
  3. SIGMETRICS
    Online Conversion with Switching Costs: Robust and Learning-augmented Algorithms
    Adam Lechowicz, Nicolas Christianson, Bo Sun, and 4 more authors
    ACM SIGMETRICS/IFIP PERFORMANCE, 2024
  4. ICML
    Online Algorithms with Uncertainty-Quantified Predictions
    Bo Sun, Jerry Huang, Nicolas Christianson, and 3 more authors
    International Conference on Machine Learning, 2024
  5. ICML
    Chasing Convex Functions with Long-term Constraints
    Adam Lechowicz, Nicolas Christianson, Bo Sun, and 4 more authors
    International Conference on Machine Learning, 2024
  6. SIGCOMM
    SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming
    Tianyu Chen, Yiheng Lin, Nicolas Christianson, and 5 more authors
    Proceedings of the ACM SIGCOMM Conference, 2024

2023

  1. AISTATS
    Optimal Robustness-Consistency Tradeoffs for Learning-Augmented Metrical Task Systems
    Nicolas Christianson, Junxuan Shen, and Adam Wierman
    International Conference on Artificial Intelligence and Statistics, 2023
  2. NeurIPS
    SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems
    Christopher Yeh, Victor Li, Rajeev Datta, and 9 more authors
    Neural Information Processing Systems Datasets and Benchmarks Track, 2023
  3. CDC
    Pricing uncertainty in stochastic multi-stage electricity markets
    Lucien Werner*, Nicolas Christianson*, Alessandro Zocca, and 2 more authors
    62nd IEEE Conference on Decision and Control, 2023
  4. SIGMETRICS
    Smoothed online optimization with unreliable predictions
    Daan Rutten, Nicolas Christianson, Debankur Mukherjee, and 1 more author
    ACM SIGMETRICS, 2023

2022

  1. COLT
    Chasing convex bodies and functions with black-box advice
    Nicolas Christianson, Tinashe Handina, and Adam Wierman
    Conference on Learning Theory, 2022
  2. PSCC
    Dispatch-aware planning for feasible power system operation
    Nicolas Christianson*, Lucien Werner*, Adam Wierman, and 1 more author
    Electric Power Systems Research, 2022
  3. PNAS
    Optimizing the human learnability of abstract network representations
    William Qian, Christopher W. Lynn, Andrei A. Klishin, and 3 more authors
    Proceedings of the National Academy of Sciences, 2022
  4. arXiv
    Learning Dynamic Graphs, Too Slow
    Andrei A. Klishin, Nicolas Christianson, Cynthia S.Q. Siew, and 1 more author
    Preprint, 2022

2020

  1. Proc. Roy. Soc. A
    Architecture and evolution of semantic networks in mathematics texts
    Nicolas H. Christianson, Ann Sizemore Blevins, and Dani S. Bassett
    Proceedings of the Royal Society A, 2020

2016

  1. Biochemistry
    Structural and Functional Influence of the Glycine-Rich Loop G302GGGY on the Catalytic Tyrosine of Histone Deacetylase 8
    Nicholas J. Porter, Nicolas H. Christianson, Christophe Decroos, and 1 more author
    Biochemistry, 2016

2015

  1. Biochemistry
    Biochemical and Structural Characterization of HDAC8 Mutants Associated with Cornelia de Lange Syndrome Spectrum Disorders
    Christophe Decroos, Nicolas H. Christianson, Laura E. Gullett, and 4 more authors
    Biochemistry, 2015