David Hyde

Assistant Professor
Department of Computer Science, Vanderbilt University
dabh -at- alumni.stanford.edu

Brief bio: David Hyde is an Assistant Professor of Computer Science at Vanderbilt University. He was first a Regents Scholar at UCSB, earning a B.S. in Mathematics with highest honors at age 19. Hyde then earned a Ph.D. in Computer Science (with Distinction in Teaching) from Stanford, where he was a DoD NDSEG Fellow and a Gerald J. Lieberman Fellow. He also earned M.S. degrees in computer science and applied math. Most recently, David was a PIC Assistant Adjunct Professor in the Department of Mathematics at UCLA. Hyde's research has been supported by organizations including DARPA, the Department of Energy, and the Army Research Lab. He is a recipient of the ORAU Ralph E. Powe Junior Faculty Enhancement Award and was a SIAM Science Policy Fellow from 2022-2024. Hyde has also helped build successful technology companies and invests in startups via Brave Capital.
Full CV available upon request.

Research keywords: Computational Physics, Computer Graphics, Deep Learning, Cloud Computing, Cyberinfrastructure

Research summary: Professor Hyde leads the Simulation, Optimization, and Learning (SOL) laboratory at Vanderbilt University. His group creates new algorithms and numerical methods for problems in and at the intersections of these three fields. A particular emphasis is on developing techniques for simulating physical phenomena that involve solids and fluids. These simulations are useful for engineering and computer graphics, as well as for providing data and constraints for learning-based systems. Hyde and his group also build cloud computing platforms, create scalable heterogeneous implementations of algorithms, and develop practical software, libraries, and datasets relevant to their research focus. The SOL lab ultimately seeks to illuminate the synergies between simulation, learning, and data, and to leverage these connections to solve complex real-world challenges.


I am actively recruiting one postdoc or Ph.D. student for January/August 2025 who is interested in the same topics I am. Please email me!


  • (2024-05-24) Happy to be serving on the steering committee for the SIAM Quantum Intersections Convening happening this October. Please spread the word and apply to attend!
  • (2024-05-15) Press release on our group's latest paper, to be presented at PASC24.
  • (2024-05-01) Part II of our SIAM News series on applied mathematics and quantum computing is now available! Read the full issue here.
  • (2024-04-01) Our SIAM News series on applied mathematics and quantum computing is now live! The full print issue is available here. Thanks to the SIAM Science Policy Fellowship for supporting this effort.
  • (2023-03-20) Looking forward to hosting a minisymposium on deep learning, preconditioning, and linear solvers at ICIAM 2023. See you in Tokyo!
  • (2022-01-07) Grateful to have received a SIAM Science Policy Fellowship to help with computational science and applied math advocacy for the next two years.
  • (2021-05-10) My render from our latest paper is featured in (and the thumbnail of!) the SIGGRAPH 2021 Trailer.
  • (2020-05-28) Small writeup of our award-winning CHI paper in the Stanford Engineering magazine.
  • (2019-04-08) The main paper behind my thesis is now available online through JCP.
  • (2018-10-04) Our review paper on deep learning and multiphase flow is one of the most downloaded recent articles in JCP!
  • (2018-07-10) Honored to receive the Gerald J. Lieberman fellowship, one of twelve top graduate students across the entire university in terms of research, teaching, and service.


Compelling ReLU Network Initialization and Training to Leverage Exponential Scaling with Depth

M. Milkert, D. Hyde, F. Laine

Toward Improving Boussinesq Flow Simulations by Learning with Compressible Flow

N. Mangnike and D. Hyde
PASC '24: Proceedings of the Platform for Advanced Scientific Computing Conference, 2024

Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls

H. Vardhan, D. Hyde, U. Timalsina, P. Volgyesi, J. Sztipanovits

The Pandemic did not Interrupt LA's Violence Interrupters

J. Ren, K. Santoso, D. Hyde, A. Bertozzi, P. Brantingham
Journal of Aggression, Conflict and Peace Research, 2022

A Deep Conjugate Direction Method for Iteratively Solving Linear Systems

A. Kaneda, O. Akar, J. Chen, V. Kala, D. Hyde, J. Teran
Proceedings of the 40th International Conference on Machine Learning, 2023

A Robust Grid-Based Meshing Algorithm for Embedding Self-Intersecting Surfaces

S. Gagniere, Y. Han, Y. Chen, D. Hyde, A. Marquez-Razon, J. Teran, R. Fedkiw
Computer Graphics Forum, 2023




A Momentum-Conserving Implicit Material Point Method for Surface Tension with Contact Angles and Spatial Gradients

J. Chen, V. Kala, A. Marquez-Razon, E. Gueidon, D. Hyde, J. Teran
ACM TOG (SIGGRAPH 2021 Technical Papers), 2021

Emotion Classification and Textual Clustering Techniques for Gang Intervention Data

R. Wu, C. Yang, D. Hyde, A. Bertozzi, P. Brantingham
Data Science for Smart and Connected Communities Workshop, IEEE Big Data, 2020

Analyzing Effectiveness of Gang Interventions using Koopman Operator Theory

S. Wen, A. Chen, T. Bhatia, N. Liskij, D. Hyde, A. Bertozzi, P. Brantingham
Data Science for Smart and Connected Communities Workshop, IEEE Big Data, 2020

An Implicit Updated Lagrangian Formulation for Liquids with Large Surface Energy

D. Hyde, S. Gagniere, A. Marquez-Razon, J. Teran
ACM TOG (SIGGRAPH Asia 2020 Technical Papers), 2020

Improved Search Strategies with Application to Estimating Facial Blendshape Parameters

M. Bao, D. Hyde, X. Hua, R. Fedkiw

A Hybrid Lagrangian/Eulerian Collocated Velocity Advection and Projection Method for Fluid Simulation

S. Gagniere, D. Hyde, A. Marquez-Razon, C. Jiang, Z. Ge, X. Han, Qi Guo, J. Teran
Computer Graphics Forum (Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2020 (SCA 2020)), 2020

Assessing the Effects of Failure Alerts on Transitions of Control from Autonomous Driving Systems

E. Fu, D. Hyde, S. Sibi, M. Johns, M. Fischer, D. Sirkin
Proceedings of the 2020 IEEE Intelligent Vehicles Symposium (IV 2020), 2020-10

Is Too Much System Caution Counterproductive? Effects of Varying Sensitivity and Automation Levels in Vehicle Collision Avoidance Systems

E. Fu, M. Johns, D. Hyde, S. Sibi, M. Fischer, D. Sirkin
Proceedings of the 2020 ACM SIGCHI Conference on Human Factors in Computing Systems, 2020




VRGE: An Immersive Visualization Application for the Geosciences

D. Hyde, T. Hall, J. Caers
Proceedings of the 2018 IEEE Conference on Scientific Visualization (SciVis '18), 2018

Assessing and Visualizing Uncertainty of 3D Geological Surfaces Using Level Sets with Stochastic Motion

L. Yang, D. Hyde, O. Grujic, C. Scheidt, J. Caers
Computers and Geosciences, 2019-01

Distributing and Load Balancing Sparse Fluid Simulations

C. Shah, D. Hyde, H. Qu, P. Levis
Computer Graphics Forum (Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2018 (SCA 2018)), 2018

Sharp Interface Approaches and Deep Learning Techniques for Multiphase Flows

F. Gibou, D. Hyde, R. Fedkiw
Journal of Computational Physics, 2019

FRC: A High-Performance Concurrent Parallel Deferred Reference Counter for C++

C. Tripp, D. Hyde, B. Grossman-Ponemon
Proceedings of the 2018 ACM SIGPLAN International Symposium on Memory Management (ISMM '18), 2018

A Robust Volume Conserving Method for Character-Water Interaction

M. Lee, D. Hyde, K. Li, R. Fedkiw
Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2019 (SCA 2019), 2019

Knotting Fingerprints Resolve Knot Complexity and Knotting Pathways in Ideal Knots

D. Hyde, J. Henrich, E. Rawdon, K. Millett
Journal of Physics: Condensed Matter (Special Issue on Knots), 2015


Ph.D. Students Alumni


We gratefully acknowledge support from the following organizations: