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.
I'm currently a Research Intern at Microsoft Research Redmond in the Networking Research Group, working with Behnaz Arzani, Pooria Namyar, and Konstantina Mellou.
Adam Lechowicz
he/they
I’m currently a Research Intern at Microsoft Research Redmond in the Networking Research Group, working with Behnaz Arzani, Pooria Namyar, and Konstantina Mellou. I am also 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
♠ SPADE: Signal-Aware DAG Scheduling and Dynamic Provisioning for Data Processing Clusters
OSDI 2026. (to appear)
Online Smoothed Demand Management
Adam Lechowicz, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Prashant Shenoy
ACM SIGMETRICS 2026. (to appear)
Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior
Adam Lechowicz, Joshua Comden, Andrey Bernstein
ACM e-Energy 2025. (slides)
Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
ACM SIGMETRICS 2025. Also in ACM POMACS, Mar. 2025. (slides)
The Online Pause and Resume Problem:
Optimal Algorithms and An Application to Carbon-aware Load Shifting
ACM SIGMETRICS / IFIP Performance 2024. Also in ACM POMACS, Dec. 2023. (slides)
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
- (May 11th, 2026) Excited to spend a summer at Microsoft Research Redmond – I’ll be interning with the Networking Research Group.
- (April 28th, 2026) Our papers on cost-effective incentives for rooftop solar and city-scale transformer-aware decarbonization were accepted to BuildSys 2026!
- (April 21st, 2026) I am presenting two guest lectures this week on the impacts of data centers and related algorithmic challenges in INFO 203: A Networked World, an undergraduate course at UMass.
- (March 27th, 2026) Our SPADE paper on signal-aware DAG scheduling and dynamic provisioning was accepted to OSDI 2026!
- (March 26th, 2026) I gave a talk on learning-augmented algorithms for spatiotemporal online allocation with deadline constraints at the Yale CS / OR / Econ theory lunch. Thank you CADMY for the invitation! See my slides here.
- (March 17th, 2026) I am at the Workshop on Foundation Models of the Electric Grid this week, presenting our work on online smoothed demand management.
- (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.