News

19 December, 2022
New Nature Computational Science paper on Discovering Extreme Events! We develop a method for artificial intelligence to teach itself to accurately predict extreme events. From rogue waves to pandemic spikes, to structural ship failures, deep neural operators interact with complex systems to efficiently discover and learn extreme behavior.

15 March, 2021
Submitted a new paper to JASA! We use reduced-order modeling for capturing physics of turbulet jet noise.

4 February, 2020
Defended my thesis, Resolvent modeling of turbulent jets, check out the recording!

22 May, 2020
Just submitted a new paper to JFM! We use data to determine an optimal eddy-viscosity for resolvent analysis.

14 April, 2020
Lift-Up in turbulent jets paper accepted to JFM!