I received a B.S. in Computer Science and a B.A. in Political Science from UMass Amherst in May 2022. I completed an honors thesis on opinion polarization in social networks working with Cameron Musco. I was honored as a Rising Researcher and a 21st Century Leader, which are the highest undergraduate honors at UMass.
In Summer 2023, I was a visiting researcher at Caltech in Computing and Mathematical Sciences, advised by Adam Wierman. I worked on algorithms to solve online optimization problems that arise in sustainable computing, such as carbon-aware load shifting.
I completed my DOE CSGF practicum in Summer 2024 at the Power Systems Engineering Center of the National Renewable Energy Laboratory (currently National Laboratory of the Rockies), mentored by Joshua Comden and Andrey Bernstein. I worked on optimizing incentives under human-driven uncertainties in power grids.
I am a fourth-year Ph.D. candidate in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, advised by Mohammad Hajiesmaili and Prashant Shenoy.
Adam Lechowicz
he/they
I am a fourth-year Ph.D. candidate in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, advised by Mohammad Hajiesmaili and Prashant Shenoy.
I work at the intersection of theory and systems, with an emphasis on emerging problems in energy and sustainability. From a theoretical perspective, I am interested in decision-making under uncertainty, particularly using the learning-augmented algorithms framework, which combines the provable guarantees of traditional algorithm design with AI-driven performance. On the application side, I am interested in novel system designs that increase the flexibility, efficiency, and sustainability of energy systems or computing infrastructure. My work is supported by a U.S. Department of Energy Computational Science Graduate Fellowship (CSGF).
In Summer 2024, I worked with Joshua Comden at the National Renewable Energy Laboratory (currently National Laboratory of the Rockies) on incentives and human-driven uncertainties in energy systems. Before my Ph.D., I completed my undergraduate thesis with Cameron Musco, studying polarization in social networks.
email: alechowicz [at] umass [dot] edu
Selected Publications
Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir,
ACM SIGMETRICS 2025. (slides)
Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior
Adam Lechowicz, Joshua Comden, Andrey Bernstein
ACM e-Energy 2025. (slides)
Chasing Convex Functions with Long-term Constraints
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir,
ICML 2024. (workshop version)
The Online Pause and Resume Problem:
Optimal Algorithms and An Application to Carbon-aware Load Shifting
Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir,
ACM SIGMETRICS / IFIP Performance 2024. (slides)
Time Fairness in Online Knapsack Problems
Adam Lechowicz, Rik Sengupta, Bo Sun, Shahin Kamali, Mohammad Hajiesmaili
ICLR 2024. (workshop version)
Equitable Network-aware Decarbonization of Residential Heating at City Scale
Adam Lechowicz, Noman Bashir, John Wamburu, Mohammad Hajiesmaili, Prashant Shenoy
ACM e-Energy 2023. (slides)
Recent News
- (December 12th, 2025) Our paper on online smoothed demand management was accepted to SIGMETRICS 2026!
- (November 20th, 2025) We have a paper at ACM BuildSys 2025 (best paper candidate!) on evolutionary learning for solar deployment optimization.
- (November 5th, 2025) Our paper on signal-aware workload shifting was accepted to e-Energy 2026!
- (October 27th, 2025) I am at the INFORMS Annual Meeting in Atlanta, GA this week! I’ll be giving an invited talk on learning-augmented algorithms for spatiotemporal online allocation with deadline constraints in the Algorithms for Grid Integration of AI session. See my slides here.
- (September 9th, 2025) I am at the ACM SIGCOMM conference in Coimbra, Portugal this week! I’ll be presenting our short paper on carbon- and precedence-aware scheduling for data processing in the SIGCOMM Shorts session.
- (July 2nd, 2025) I am at the INFORMS APS conference at Georgia Tech this week! I’ll be giving an invited talk on online optimization with switching costs and long-term constraints in the Learning-Augmented Online Optimization session.
- (June 20th, 2025) I am at ACM e-Energy in Rotterdam, Netherlands this week! We have two papers on optimizing individualized incentives with unknown agent behavior and the carbon cost of residential solar.
- (June 12th, 2025) I am at the ACM SIGMETRICS conference at Stony Brook University this week! I’ll be presenting our paper on spatiotemporal online allocation with deadline constraints in the Online Learning II session. I am also co-organizing the LATA and CarbonMetrics workshops.