SymbioticLab

University of Michigan

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SymbioticLab focuses on large-scale data systems that can yield order-of-magnitude performance and efficiency improvements. We tailor existing Big Data and AI/ML applications and design new ones to best leverage their underlying infrastructure. This boils down to three operating regimes: single-microsecond latency within a rack, single-millisecond latency within a datacenter, and hundreds-of-milliseconds latency across the world.

Overview

Join SymbioticLab to work on impactful first-of-its-kind projects!

Learn about openings in ongoing projects if you’re already in Michigan.

News

2026-03-29
David McDermott Receives Arlen R. Hellwarth Award and Two Academic Achievement Awards from CoE and EECS. Congrats David!
2026-03-17
Jae-Won Chung Receives a Rackham Predoctoral Fellowship. Congrats Jae-Won!
2026-01-26
Mordal and EXP-Bench Accepted to Appear at ICLR'26. Congrats Shiqi and Insu!
2026-01-16
TetriServe Accepted to Appear at ASPLOS'26. Congrats Runyu, Shiqi, Wenxuan, Ruofan, and Jeff!
2025-12-20
Thanks Laude Institute for Supporting the ML.ENERGY Initiative with a Slingshot Grant!
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