David Andrew Hyde
Vanderbilt University, TN·Computer Science·Early-career
Powerful computing is essential for modern science, from simulating tsunamis to training AI and running quantum programs. But it is often too costly, specialized or hard to reach for many researchers and students.
- Fields
Computer Science
Engineering
Earth & Environmental Science
- Topics
cloud computing
cyberinfrastructure
physics simulation
- Grants
- 3 known grants, through Dec 2029
What they work on
- Develop optimized GPU implementations of grids, particles, octrees and linear solvers as the foundation of COSTA, an open cloud platform for physics simulation.
- Build a differentiable physics system for fluids, solids and their two-way coupling on a PDE adjoint framework, and connect it to PyTorch through a node-based graphical interface.
- Extend the ADVISER cloud platform for fair, efficient AI computing, with fractional GPU sharing and a common interface to different large language models.
- Create MOCHA, a hardware-agnostic quantum computing platform with a unified compiler for annealing and circuit-model problems and a deep learning-based embedding optimizer.
- Adapt the Icepack glacier-flow software to run on ADVISER and build data assimilation pipelines for importing datasets, focusing on Antarctic ice shelves.
More about the research
Across three projects, the lab builds open-source software platforms that make cloud computing, physics simulation and emerging technologies easier to use. A shared cloud platform called ADVISER (Advanced cloud-based Data- and Visualization-Integrated Simulation EnviRonment) links several of these efforts.
Why it matters
These platforms could lower the cost and expertise needed to run physics simulations, AI workloads and quantum programs, opening them to researchers at smaller and minority-serving institutions. COSTA could support AI systems for robots, self-driving cars and design tools. Cloud-based glacier modeling with Icepack could help scientists combine remote sensing data and models of Antarctic ice shelves.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
CAREER: Cyberinfrastructure for the Computation and Collaboration Needs of Emerging Technologies Research
NSF · Jan 2025 – Dec 2029
CIRC: New: COSTA: An Open Cloud Simulation Platform for Physical Intelligence
NSF · Oct 2025 – Sep 2028
Collaborative Research: GEO OSE Track 1: Advanced cloud-based Data- and Visualization-Integrated Simulation EnviRonment (ADVISER) to Advance Computational Glaciology
NSF · Nov 2023 – Oct 2026
Closest labs
Neranjan Edirisinghe Pathirannehe
Georgia State University, GA·Computer Science
Deploy a campus computing cluster with 12 NVIDIA H100 GPUs, BlueField data processing units, 682 CPU cores and 228 TB of storage to support 11 research projects spanning wildfire management, solar prediction, neuroscience, finance and policy.
Tianqi Chen
Carnegie Mellon University, PA·Computer Science·Early-career
Build a unified program representation that captures both high-level computation and data formats and low-level hardware optimizations of AI models, as the foundation for a new machine learning compiler.
Daniele Panozzo
New York University, NY·Computer Science
Develop dPolyFEM, an open-source modular framework for differentiable simulation, which computes how simulation results change with inputs, for elastic objects with large deformations, contact and friction.
The school
Vanderbilt University: 22 labs on PI Pages, $1.3B a year on research, 494 research doctorates a year.
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