ESC

Tianyi Chu

Postdoc Fellow, Georgia Institute of Technology

My research focuses on high-speed, turbulent, and multiphysics flows that shape energy efficiency and sustainability in natural and engineered systems. I develop adaptive digital twins that couple simulations, models, and data in closed-loop feedback frameworks to improve prediction, control, forecasting, uncertainty quantification, and decision-making.

About me

I am a postdoctoral fellow in the Computational Physics Group at Georgia Tech CSE, working with Prof. Spencer Bryngelson. I completed my Ph.D. in Mechanical Engineering at the University of California San Diego (UCSD) under the supervision of Profs. Oliver Schmidt and Stefan Llewellyn Smith. Additionally, I obtained my M.S. from UCSD, where I worked with Prof. Stefan Llewellyn Smith. My research focused on understanding the dynamics and physics of turbulent flows by incorporating theories, computational methods, and experiments. The main approaches used for my research include computational fluid dynamics, data assimilation, data-driven methods, mesh-free methods, optimal experimental designs, and reduced-order models.

Upcoming Events

APS Division of Fluid Dynamics Annual Meeting 2026

Orlando, Florida. Nov. 22-24, 2026

Tianyi Chu

Tianyi Chu

Postdoc Fellow

Georgia Institute of Technology

  • (2023) Ph.D. Mechanical Engineering, UCSD
  • (2018) M.S. Mechanical Engineering, UCSD
  • (2017) B.S. Mechanical Engineering, SJTU

News

Aug 10, 2026
Our paper on energy dissipation mechanisms in an acoustically-driven slit is published in Journal of Fluid Mechanics!
Aug 03, 2026
New preprint on coupled Rayleigh-Taylor and Faraday instabilities in vertically vibrated cylinders, in collaboration with Tim Koehler and Ryan McMullen at Sandia.
June 12, 2026
New preprint on the limitations of constant-parameter constitutive models for hydrogels under inertial cavitation, in collaboration with Jon Estrada’s group at UMich.

See all news →