I am a Postdoctoral Research Associate at the Aerospace Computational Design Lab (ACDL), where I work under the supervision of Professor Karen Willcox. My research program is focused on computational methods and numerical analysis for control, optimization, design and uncertainty quantification of large-scale dynamical systems. To enable—or speed-up—these computationally expensive tasks, I am interested in developing new methods and algorithms that use reduced-order surrogate models. With an increased availablilty of data available, I am interested in integrating information from data into decades-old, accurate, first-principles computational models.

- Reduced-order modeling (data-driven and physics-based)
- Optimal control and estimation for large-scale dynamical systems
- Uncertainty quantification through multifidelity approaches
- Sparse representation, compressed sensing for dynamical systems
- System Identification
- Partial differential equations models

Tuesday Feb. 28, 9:10 - 10:50 and 1:30 - 3:10 : We are co-organizing a minisymposium on "Model Order Reduction: Perspectives from Junior Researchers" at SIAM CSE 2017 (with Alessandro Alla ).

Thursday, March 2, 10:50-11:10: I am presenting our work on "Multifidelity Computation of Failure Probabilities for Systems with Uncertain Parameters" at SIAM CSE 2017.

Friday, March 17: I am speaking at the Department of Mathematics Colloquium at Virginia Tech.

Monday, April 3, 1:00-5:30PM: We are co-organizing a minisymposium on "Uncertainty Quantification and Model Inadequacy in Combustion Simulations" at the 2017 SIAM International Conference on Numerical Combustion (with Todd Oliver).

Feb 15: I gave a presentation about "Exploiting low-dimensional structures for sensing and control of fluids via data-driven reduced-order modeling at the "Computational Science Seminar", Department of Mathematics, University of Massachusetts Dartmouth, February 15, 2017.

Jan 29 - Feb 3: I presented our work on "Data-driven modeling for control of systems with time-varying and uncertain parameters" at the workshop on "Data-Driven Methods for Reduced-Order Modeling and Stochastic Partial Differential Equations" at the Banff International Research Station in Canada.

Jan 16-20: I visited Professor Matthias Heinkenschloss at Rice University to work on risk measure estimation and computation.

Nov 7-10: I gave a talk on "Reduced-order models from data: Eigensystem Realization and Algorithm and CUR-factorization" at the Conference on "Recent developments in numerical methods for model reduction" at the Institute Henri Poincare, Paris.

August 2-5: I visited ICES at UT Austin to work on chemical reaction modeling in combustion simulations.

July 11-15: The SIAM Annual 2016 was in Boston, and I presented "Control for Systems With Uncertain Parameters through Reduced Order Models".

July 15: At the SIAM Annual 2016 I also co-organized (w. Joshua Proctor, IDM) a minisymposium "Data-based methods towards optimal control of complex systems".

July 6-8: I presented my paper "Model Reduction for Control of a Multiphysics System: Coupled Burgers' Equation" at the American Control Conference ACC 2016 here in Boston.

April 19-20: I attended the Workshop on Data to Decisions in Aerospace Engineering at the University of Auckland, New Zealand, and gave a talk titled "Control for systems with uncertain parameters through data-driven models".

April 5-8: I was at the SIAM UQ in Lausanne, giving a talk in the MS13 with title "Control for Systems with Uncertain Parameters".

March 30 - April 1: I attended the Data-driven Model Order Reduction and Machine Learning conference in Stuttgart, and gave a talk titled "System Identification and Model Reduction for MIMO Systems via the Eigensystem Realization Algorithm".