Bio
I am a Tenure-Track Assistant Professor in the Department of Mechanical, Aerospace, and Nuclear Engineering at The Rensselaer Polytechnic Institute, Troy, NY 12180 in the United States. I lead the Computational Scientific Machine Learning Lab. I am also affiliated with Rensselaer-IBM Artificial Intelligence Research Collaboration. Prior to that, I was a Postdoc in the AI Institute in Dynamic Systems at the University of Washington, Seattle collaborated with Nathan Kutz and Steve Brunton. I obtained my Ph.D. in Aerospace Engineering and Scientific Computing in 2021 from the University of Michigan, Ann Arbor, advised by Karthik Duraisamy.
Our Computational Scientific Machine Learning (CSML) Lab is dedicated to transformative computational and data-driven approaches to the predictive forward/inverse modeling, and control of complex large-scale nonlinear dynamic systems (e.g., fluid flows), with the ultimate goal of accelerating scientific discovery.
Our computing resources include computational awards on supercomputing clusters: RPI-AiMOS, Purdue Anvil, NERSC Perlmutter, TAMU Faster, NREL Kestral, New York State Empire-AI Beta system, and a private workstation of 3xA6000 48GB GPUs. Besides, each Ph.D. student is equipped with a high-end workstation with a 3090 24GB GPU.
  • 05/2025 Published a paper titled on parametric surrogate modeling for heat transfer with UQ in Progress in Nuclear Energy [Paper].
  • 06/2025 Received Google Research Scholar Award [Link]
  • 05/2025 We released a preprint titled "UniFoil: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows" [Paper]. This work is leaded by Sicheng He's group at UTK.
  • 05/2025 Ph.D. student Ling and Nithin released a preprint titled "Foam-agent: Towards automated intelligent cfd workflows" [Paper].
  • 11/2024 Co-advised Ph.D. student Isaac presented a work on data-driven surrogate models that accelerate fluid solver at APS-DFD 2024 [Abstract].
  • 11/2024 Ph.D. student Weichao presented a work on meshless surrogate models with stability guarantees at APS-DFD 2024 [Abstract].
  • 11/2024 Ph.D. student Nithin presented a work on convergence guaranteed autoencoder at APS-DFD 2024 [Abstract][Paper].
  • 09/2024 Published a co-author paper on distributed deep compression of deep sea wavefield data on edge device on Journal of Geophysical Research: Machine Learning and Computation [Paper]
  • 04/2025 Ph.D. student Shahriar released a work on noise-robust Koopman operator with physics-informed observables [Paper].
  • 07/2024 Presented a work on meshless surrogate models with stability guarantees at WCCM 2024
  • 07/2024 Presented a conference paper on learning parametric Koopman operator for hypersonic nonequilibrium flows at AIAA Aviation 2024. [Paper]
  • 07/2024 Co-advised student Soha presented a conference paper on learning preconditioner for incomplete LU factorization at AIAA Aviation 2024. [Paper]
  • 03/2024 Published a paper on the role of symmetry in lifting and reconstruction of Koopman operator with multiple invariant sets is published on Nonlinear Dynamics [Paper].
  • 03/2024 Published a co-author paper on using physics-informed neural network (PINN) for solving plasma physics with different geometry on Physics of Plasmas [Paper][Editor Pick].
  • 12/2023 Published a paper on The Journal of Open Source Software on a modular implementation of learning Koopman operator from data [Paper][Code]
  • 11/2023 Ph.D. student Nithin presented a work on differentiable finite-element solver using Nvidia Warp at APS-DFD 2023 [Abstract]
  • 01/2023 Published a paper meshless representation learning for PDE fields on Journal of Machine Learning Research [Paper]
  • Google Research Scholar Program
    2025
  • MICDE Fellowship
    2018
  • Chinese Outstanding Student Abroad Award (Ministry of Education of China, 500 globally)
    2018
  • Doctoral Fellowship
    2016
  • Rackham Summer Award
    2015
  • Richard and Eleanor Towner Prize for Outstanding Ph.D. Research (Department Nominee)
    2019
  • SIAM Student Travel Grant
    2017
  • Best Undergraduate Thesis in Fluid Mechanics (School of Aeronautical Engineering, Beihang University)
    2013
  • First Prize, College Mathematical Competition (2/1000, Beihang University)
    2011